Relevant bibliographies by topics / CircRNAs

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'CircRNAs'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "CircRNAs"

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Hossain, Md Tofazzal, Yin Peng, Shengzhong Feng, and Yanjie Wei. "FcircSEC: An R Package for Full Length circRNA Sequence Extraction and Classification." International Journal of Genomics 2020 (June 1, 2020): 1–11. http://dx.doi.org/10.1155/2020/9084901.

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Circular RNAs (circRNAs) are formed by joining the 3′ and 5′ ends of RNA molecules. Identification of circRNAs is an important part of circRNA research. The circRNA prediction methods can predict the circRNAs with start and end positions in the chromosome but cannot identify the full-length circRNA sequences. We present an R package FcircSEC (Full Length circRNA Sequence Extraction and Classification) to extract the full-length circRNA sequences based on gene annotation and the output of any circRNA prediction tools whose output has a chromosome, start and end positions, and a strand for each
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Li, Jing, Heng Yang, Huaran Shi, Jihong Zhang, and Wei Chen. "Expression Profiles of Differentially Expressed Circular RNAs and circRNA–miRNA–mRNA Regulatory Networks in SH-SY5Y Cells Infected with Coxsackievirus B5." International Journal of Genomics 2022 (October 10, 2022): 1–15. http://dx.doi.org/10.1155/2022/9298149.

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Coxsackievirus B5 (CVB5) is the causative agent of hand, foot, and mouth disease (HFMD) that can cause neurological complications and fatalities. Circular RNA (circRNA) has been shown to play an important role in regulating pathogenic processes. However, the functions of circRNA in response to CVB5 infection remain unclear. In our research, RNA-seq was employed to analyze the expression profiles of circRNAs in SH-SY5Y cells with or without CVB5 infection. Out of 5,665 circRNAs identified to be expressed in SH-SY5Y cells, 163 circRNAs were found to be differentially expressed significantly. Mor
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Gu, Alison, Dabbu Kumar Jaijyan, Shaomin Yang, Mulan Zeng, Shaokai Pei, and Hua Zhu. "Functions of Circular RNA in Human Diseases and Illnesses." Non-Coding RNA 9, no. 4 (2023): 38. http://dx.doi.org/10.3390/ncrna9040038.

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Circular RNAs (circRNAs) represent single-stranded RNA species that contain covalently closed 3′ and 5′ ends that provide them more stability than linear RNA, which has free ends. Emerging evidence indicates that circRNAs perform essential functions in many DNA viruses, including coronaviruses, Epstein–Barr viruses, cytomegalovirus, and Kaposi sarcoma viruses. Recent studies have confirmed that circRNAs are present in viruses, including DNA and RNA viruses, and play various important functions such as evading host immune response, disease pathogenesis, protein translation, miRNA sponges, regul
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Cheng, Feiran, Ji Li, Chaoying Hu, et al. "Study on the Characterization and Degradation Pattern of Circular RNA Vaccines Using an HPLC Method." Chemosensors 12, no. 7 (2024): 120. http://dx.doi.org/10.3390/chemosensors12070120.

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Circular RNA (circRNA) vaccines have attracted increasing attention due to their stable closed-loop structures and persistent protein expression ability. During the synthesis process, nicked circRNAs with similar molecular weights to those of circRNAs are generated. Analytical techniques based on differences in molecular weight, such as capillary electrophoresis, struggle to distinguish between circRNAs and nicked circRNAs. The characteristic degradation products of circRNAs and their biological activities remain unclear. Therefore, developing methods to identify target circRNAs and non-target
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Shi, Junhao, Junxia Pu, Lv Zhou, Jie Shan, Yeni Zhang, and Yibin Deng. "The Dysregulated circRNAs in Hepatocellular Carcinoma Were Identified Through Circular RNA Sequencing and Bioinformatics Analysis." International Journal of Biology and Life Sciences 5, no. 2 (2024): 48–52. http://dx.doi.org/10.54097/2g5xv950.

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Background: The research evidence suggests that dysregulated circRNAs are closely associated with the progression of HCC and can serve as diagnostic markers and therapeutic targets for HCC. However, the status of differentially expressed circRNAs in HCC cancerous tissues and adjacent non-cancerous tissues remains unclear. Methods: Firstly, circRNA-Seq was employed to screen for dysregulated circRNAs in HCC tissues and adjacent non-cancerous tissues. Secondly, differential expression of circRNAs in the GSE97332 dataset was identified using bioinformatics methods. Lastly, the intersection of cir
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Sun, Yan, Yonghui Wang, Yuhua Li, Faheem Akhtar, Changfa Wang, and Qin Zhang. "Identification of Circular RNAs of Testis and Caput Epididymis and Prediction of Their Potential Functional Roles in Donkeys." Genes 14, no. 1 (2022): 66. http://dx.doi.org/10.3390/genes14010066.

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Circular RNAs (circRNAs) are a class of noncoding RNAs with a covalently closed loop. Studies have demonstrated that circRNA can function as microRNA (miRNA) sponges or competing endogenous RNAs. Although circRNA has been explored in some species and tissues, the genetic basis of testis development and spermatogenesis in donkeys remain unknown. We performed RNA-seq to detect circRNA expression profiles of adult donkey testes. Length distribution and other characteristics were shown a total of 1971 circRNAs were differentially expressed and 12,648 and 6261 circRNAs were detected from the testis
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Li, Shasha, Shuaishuai Teng, Junquan Xu, et al. "Microarray is an efficient tool for circRNA profiling." Briefings in Bioinformatics 20, no. 4 (2018): 1420–33. http://dx.doi.org/10.1093/bib/bby006.

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Abstract Circular RNAs (circRNAs) are emerging as a new class of endogenous and regulatory noncoding RNAs in latest years. With the widespread application of RNA sequencing (RNA-seq) technology and bioinformatics prediction, large numbers of circRNAs have been identified. However, at present, we lack a comprehensive characterization of all these circRNAs in interested samples. In this study, we integrated 87 935 circRNAs sequences that cover most of circRNAs identified till now represented in circBase to design microarray probes targeting back-splice site of each circRNA to profile expression
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Liang, Yan, Qisong Gao, Haiyang Wang, et al. "Identification and Characterization of Circular RNAs in Mammary Tissue from Holstein Cows at Early Lactation and Non-Lactation." Biomolecules 12, no. 3 (2022): 478. http://dx.doi.org/10.3390/biom12030478.

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In this study, circular RNAs (circRNAs) from Holstein cow mammary tissues were identified and compared between early lactation and non-lactation. After analysis, 10,684 circRNAs were identified, ranging from 48 to 99,406 bp, and the average size was 882 bp. The circRNAs were mainly distributed on chromosomes 1 to 11, and 89.89% of the circRNAs belonged to sense-overlapping circRNA. The exons contained with circRNAs ranged from 1 to 47 and were concentrated from 1 to 5. Compared with the non-lactating cows, 87 circRNAs were significantly differentially expressed in the peak lactation cows. Ther
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López-Nieva, Pilar, Pablo Fernández-Navarro, María Ángeles Cobos-Fernández, et al. "Patterns of Differentially Expressed circRNAs in Human Thymocytes." Non-Coding RNA 8, no. 2 (2022): 26. http://dx.doi.org/10.3390/ncrna8020026.

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Circular RNAs (circRNAs) are suggested to play a discriminative role between some stages of thymocyte differentiation. However, differential aspects of the stage of mature single-positive thymocytes remain to be explored. The purpose of this study is to investigate the differential expression pattern of circRNAs in three different development stages of human thymocytes, including mature single-positive cells, and perform predictions in silico regarding the ability of specific circRNAs when controlling the expression of genes involved in thymocyte differentiation. We isolate human thymocytes at
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Xuan, Rong, Jianmin Wang, Qing Li, et al. "Identification and Characterization of circRNAs in Non-Lactating Dairy Goat Mammary Glands Reveal Their Regulatory Role in Mammary Cell Involution and Remodeling." Biomolecules 13, no. 5 (2023): 860. http://dx.doi.org/10.3390/biom13050860.

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This study conducted transcriptome sequencing of goat-mammary-gland tissue at the late lactation (LL), dry period (DP), and late gestation (LG) stages to reveal the expression characteristics and molecular functions of circRNAs during mammary involution. A total of 11,756 circRNAs were identified in this study, of which 2528 circRNAs were expressed in all three stages. The number of exonic circRNAs was the largest, and the least identified circRNAs were antisense circRNAs. circRNA source gene analysis found that 9282 circRNAs were derived from 3889 genes, and 127 circRNAs’ source genes were un
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Dissertations / Theses on the topic "CircRNAs"

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Masante, Linda. "The missing rings of neurodevelopment: circRNAs in brain wiring." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/338658.

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circRNAs are covalently closed RNA molecules recently re-discovered thanks to the advances in RNA-seq technology. They are produced by the canonical spliceosome in a non-canonical splicing process, named back-splicing. Heterogeneous in internal composition and highly stable, circRNAs regained the attention of neuronal biologists because of their enrichment in brain and neuronal compartments. Moreover, several pioneering studies revealed a fine orchestration of circRNA expression in crucial stages of neuronal development, such as synaptogenesis. The growing evidence of circRNA enrichment in syn
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Bonizzato, Annagiulia. "CircRNAs: the transcriptional landscape of haematopoiesis at higher definition." Doctoral thesis, Università degli studi di Padova, 2017. http://hdl.handle.net/11577/3425348.

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Cell states in haematopoiesis are controlled by complex circuits, involving master regulators transcription factors and a growing family of RNA species, shaping cell phenotype, its maintenance and plasticity. Amongst RNA species, circular RNAs (circRNAs) are rapidly gaining the status of particularly stable transcriptome members with distinctive qualities. Regarding molecular functions, circRNAs modulate host gene expression, compete for binding of microRNAs, RNA-binding proteins and translation initiation, and participate in regulatory circuits. RNA-seq studies identified thousands of circRNA
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Antonelli, Maria Carla 1990. "Sam68 and circRNA biogenesis in early development." Doctoral thesis, TDX (Tesis Doctorals en Xarxa), 2021. http://hdl.handle.net/10803/671430.

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During the last decades the non-coding portion of the genome became subject of intense research due to its contribution to the complexity of biological and pathological processes. CircRNAs are a class of non-coding RNAs able to influence gene expression during development and their biogenesis relies on the activity of several RBPs. Indeed, the Signal Transduction and Activation of RNA (STAR) family members Quaking and Sam68 have been shown to be involved in the biogenesis of circRNAs in specific biological contexts, but whether their contribution is extended to embryonic development is unknown
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Obiols, Guardia Aida. "El transcriptoma no codificante en Síndrome de Rett: nuevas funciones para las regiones transcritas ultraconservadas y circRNAs." Doctoral thesis, Universitat de Barcelona, 2020. http://hdl.handle.net/10803/671629.

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Diversos estudios transcripcionales actuales ponen de manifiesto la importancia funcional de la porción no codificante de nuestro genoma, observándose un papel crucial en todos los niveles de la regulación génica. Uno de los tipos de ARNs no codificantes en cuyo estudio nuestro grupo se encuentra focalizado son las llamadas regiones transcritas ultraconservadas (transcribed ultraconserved regions; T- UCRs), trancritos considerados como ARNs no codificantes largos y cuyas secuencias comparten un 100% de homología en humano, ratón y rata. Dichas especies muestran un patrón de expresión específic
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Cheng, Xi. "Evidence for Non-Coding RNAs as Inherited Factors Influencing Cardiovascular Disease, Renal Disease and Tumorigenesis." University of Toledo Health Science Campus / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=mco1499964056117743.

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Jost, Isabelle [Verfasser]. "Development and characterization of circRNA sponges to functionally inhibit miR-122 / Isabelle Jost." Gießen : Universitätsbibliothek, 2018. http://d-nb.info/1153334879/34.

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Barbagallo, Cristina. "LncRNA and circRNA expression profiles in tissues and serum exosomes of colorectal cancer patients and cell lines." Doctoral thesis, Università di Catania, 2018. http://hdl.handle.net/10761/3649.

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In the last few years several studies demonstrated the fundamental role of non-coding RNAs (ncRNAs) in tumor onset and progression. While the involvement and the mechanism of action of microRNAs (miRNAs) have been widely investigated, little is known about long non-coding RNAs (lncRNAs) and circular RNAs (circRNAs), which seem to act through a plethora of molecular mechanisms regulating essential biological processes, such as cell cycle, splicing, chromatin remodeling, apoptosis, adhesion and migration. LncRNAs are non-coding RNAs longer than 200 nucleotides, with or without 5 -cap and poly(A)
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Ruhe, Larissa. "Investigation of cap-independent translation initiation in neuronal differentiation." Doctoral thesis, Humboldt-Universität zu Berlin, 2020. http://dx.doi.org/10.18452/21184.

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Initiation der Translation ist ein komplexer und stark regulierter Prozess, bei dem Ribosomen die mRNA binden. Die überwiegende Mehrheit eukaryotischer mRNAs wird durch einen 5‘-Cap-abhängigen Mechanismus translatiert. Dazu bindet der eIF4F-Proteinkomplex die mRNA an der 5'-Cap-Struktur, um weitere eIFs und die kleine ribosomale Untereinheit zu rekrutieren, welche dann die 5'UTR von 5'- in 3'-Richtung bis zu einem Startcodon scannt. Anschließend trifft die große ribosomale Untereinheit dazu und die Proteinsynthese beginnt. Darüber hinaus kann die Translation durch IRES, interne ribosomale Ei
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Hesse, Marlen. "Chemo-enzymatische Werkzeuge zur Untersuchung von nicht-codierender RNA." Doctoral thesis, Humboldt-Universität zu Berlin, Mathematisch-Naturwissenschaftliche Fakultät, 2017. http://dx.doi.org/10.18452/17740.

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Nicht-codierende RNAs sind ein bedeutender Bestandteil genregulatorischer Prozesse. Ihre Fehlregulierung wird mit zellulärer Dysfunktion und der Entstehung von Krankheiten in Zusammenhang gebracht. Ziel dieser Arbeit war die Entwicklung verschiedener Testsysteme zur Untersuchung nicht codierender RNAs mit dem Schwerpunkt microRNA (miRNA), precursor miRNA (pre-miRNA) und circular RNA (circRNA). Für eine Zyklisierung und Funktionalisierung von circRNA mittels Cu-katalysierter Click-Chemie zur Identifizierung zellulärer Interaktionspartner und zugehöriger Wirkmechanismen wurden die Termini linea
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CRUDELE, FRANCESCA. "Transcriptomics and cancer: beyond messenger RNA." Doctoral thesis, Università degli studi di Ferrara, 2022. http://hdl.handle.net/11392/2490101.

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Non-coding RNAs (ncRNAs) can contribute to the alteration of biological functions in normal cells, leading to progression and malignant phenotype in cancer. Among them, microRNAs and Transcribed-ultraconserved regions (T-UCRs), a novel class of long non coding RNAs transcribed from ultraconserved regions (UCRs), can both act as key regulators of cancer gene expression. Circular RNAs (circRNAs) have been generally considered as members of the non-coding RNA family. In the last decade, an increasing number of studies focused on the evaluation of the coding potential of circRNAs. The role of ncRN
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Book chapters on the topic "CircRNAs"

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Lai, Xuelei, Jérémie Bazin, Stuart Webb, Martin Crespi, Chloe Zubieta, and Simon J. Conn. "CircRNAs in Plants." In Advances in Experimental Medicine and Biology. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1426-1_26.

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Wang, Xiaolin, and Ge Shan. "Nonradioactive Northern Blot of circRNAs." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7562-4_11.

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Oliveira, Liliane Santana, Andressa Caroline Patera, Douglas Silva Domingues, et al. "Computational Analysis of and CircRNAs in." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1645-1_9.

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Saw, Phei Er, and Erwei Song. "Non-coding RNAs: Circular RNAs (circRNAs)." In RNA Therapeutics in Human Diseases. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3041-7_7.

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Clements, Katie N., Trevor J. Gonzalez, and Aravind Asokan. "Engineering Synthetic circRNAs for Efficient CNS Expression." In Methods in Molecular Biology. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3678-7_13.

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Liu, Dawei, Vanessa Conn, Gregory J. Goodall, and Simon J. Conn. "A Highly Efficient Strategy for Overexpressing circRNAs." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7562-4_8.

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Solé, Carla, Gartze Mentxaka, and Charles H. Lawrie. "The Use of circRNAs as Biomarkers of Cancer." In Long Non-Coding RNAs in Cancer. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1581-2_21.

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Kelly, Darren, and Gerhard Schratt. "Screening and Characterization of Functional circRNAs in Neuronal Cultures." In Methods in Molecular Biology. Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3678-7_17.

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Feng, Yan-Zhao, and Yang Yu. "Experimental Strategies for Studying the Function of Plant CircRNAs." In Methods in Molecular Biology. Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1645-1_2.

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Sahoo, Bijayalaxmi, and Mukesh Kumar Gupta. "Prediction of circRNAs in Mammalian Spermatozoa from RNA Sequencing Data." In Methods in Molecular Biology. Springer US, 2025. https://doi.org/10.1007/978-1-0716-4406-5_35.

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Conference papers on the topic "CircRNAs"

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Hua, Lin, and Hong Xia. "An explored analysis of CircRNAs potential regulation for prostate cancer risk." In 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), edited by Pier Paolo Piccaluga, Ahmed El-Hashash, and Xiangqian Guo. SPIE, 2024. http://dx.doi.org/10.1117/12.3044133.

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Pang, Shanchen, Zheqi Song, Tiyao Liu, Wenhao Wu, Yuanyuan Zhang, and Shudong Wang. "IEARACDA: Predicting circRNA-disease associations based on information enhancement and arctangent rank approximation." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822328.

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Wang, Zheng, Lei Wang, Zhu-Hong You, Lei Wang, Yang Li, and Zhenyu Wang. "EELMCDA: Combining evolutionary ensemble learning with matrix feature decomposition for predicting circRNA-disease associations." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822623.

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Fan, Ziyu, Yuanpeng Zhang, Yahan Li, Zeyu Zhong, and Lei Deng. "LSNSCDA: Unraveling CircRNA–Drug Sensitivity via Local Smoothing Graph Neural Network and Credible Negative Samples." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822697.

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Lu, Mianshuo, Lei Wang, Jinzhu Sun, et al. "Predicting CircRNA-Disease Associations Through Non-negative Matrix Factorization and Adversarially Regularized Variational Graph Autoencoder." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822404.

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Deng, Lei, Xin Sun, Wei Lin, and Jingpu Zhang. "DKCirc2GO: Predicting Gene Ontology of circRNAs Using Dual KATZ Approach." In 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2019. http://dx.doi.org/10.1109/bibm47256.2019.8983278.

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Wang, Songnan. "Evaluating the Effects of Multiple circRNAs Combinations on Cell Reprogramming." In ICBBS 2024: 2024 13th International Conference on Bioinformatics and Biomedical Science. ACM, 2024. https://doi.org/10.1145/3704198.3704216.

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Pompeu, Rafael, Leandro Magalhães, Ândrea Ribeiro-dos-Santos, Amanda Vidal, and Gilderlanio S. Ara´ujo. "Modelagem de Redes Regulatórias para a Descoberta de Novos Biomarcadores de Doenças Complexas." In XIII Brazilian e-Science Workshop. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/bresci.2019.10026.

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Este estudo apresenta uma proposta de modelagem de redes regulatórias extraindo dados biológicos públicos de três classes de elementos regulatórios (ncRNAs), tais como os miRNAs, circRNAs e piRNAs e suas relações (regulação e origem) com genes. A integração das redes de ncRNAs e sua associação com dados biológicos de importância clínica permitiu a identificação de genes candidatos que potencialmente atuam no desenvolvimento de doenças complexas. A partir das características de centralidade e sobreposição de ligações desta rede, identificamos novos genes e ncRNAs potenciais biomarcadores de doe
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Pompeu, Rafael, Leandro Magalhães, Ândrea Ribeiro-dos-Santos, Amanda Vidal, and Gilderlanio S. Araújo. "Modelagem de Redes Regulatórias para a Descoberta de Novos Biomarcadores de Doenças Complexas." In XIII Brazilian e-Science Workshop. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/bresci.2019.6307.

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Este estudo apresenta uma proposta de modelagem de redes regulatórias extraindo dados biológicos públicos de três classes de elementos regulatórios (ncRNAs), tais como os miRNAs, circRNAs e piRNAs e suas relações (regulação e origem) com genes. A integração das redes de ncRNAs e sua associação com dados biológicos de importância clı́nica permitiu a identificação de genes candidatos que potencialmente atuam no desenvolvimento de doenças complexas. A partir das caracterı́sticas de centralidade e sobreposição de ligações desta rede, identificamos novos genes e ncRNAs po- tenciais biomarcadores de
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Huang, Chen, Dongliang Leng, Lu Li, Peiyan Zheng, Baoqing Sun, and Xiaohua Douglas Zhang. "Transcriptome analysis of human peripheral blood reveals key circRNAs implicated in Allergic bronchopulmonary aspergillosis." In 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2018. http://dx.doi.org/10.1109/bibm.2018.8621145.

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Reports on the topic "CircRNAs"

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Wang, Mingfei, Linfeng Zhang, Wenhao Ren, et al. Diagnostic Value of CircRNAs as Potential Biomarker in Oral Squamous Cell Carcinoma: A Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.6.0037.

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