Academic literature on the topic 'Genes identification'

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Journal articles on the topic "Genes identification"

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Li, M., X. Wu, X. Guo, et al. "Identification of optimal reference genes for examination of gene expression in different tissues of fetal yaks." Czech Journal of Animal Science 62, No. 10 (2017): 426–34. http://dx.doi.org/10.17221/75/2016-cjas.

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Reverse transcription quantitative real-time PCR (RT-qPCR) is widely used to study the relative abundance of mRNA transcripts because of its sensitivity and reliable quantification. However, the reliability of the interpretation of expression data is influenced by several complex factors, including RNA quality, transcription activity, and PCR efficiency, among others. To avoid experimental errors arising from potential variation, the selection of appropriate reference genes to normalize gene expression is essential. In this study, 10 commonly used reference genes – ACTB, B2M, HPRT1, GAPDH, 18S
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Geng, Cuiyun, and Paul Macdonald. "Identification of Genes that InfluencegurkenExpression." Fly 1, no. 5 (2007): 259–67. http://dx.doi.org/10.4161/fly.5246.

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Staber, P. B., S. Schauer, G. Moser, M. E. Kadin, W. Dirks, and G. Höfler. "Identification of ALK regulated genes." Pathology - Research and Practice 200, no. 4 (2004): 256. http://dx.doi.org/10.1016/s0344-0338(04)80409-6.

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Morris, Brain J. "Identification of essential hypertension genes." Journal of Hypertension 11, no. 2 (1993): 115–20. http://dx.doi.org/10.1097/00004872-199302000-00001.

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Keller, R. G., C. Desplan, and M. I. Rosenberg. "Identification and characterization ofNasoniaPax genes." Insect Molecular Biology 19 (February 2010): 109–20. http://dx.doi.org/10.1111/j.1365-2583.2009.00921.x.

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Van Brunt, Jennifer. "Human Disease Genes Elude Identification." Nature Biotechnology 7, no. 2 (1989): 120. http://dx.doi.org/10.1038/nbt0289-120.

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Yamanaka, K., Teru Ogura, Hironori Niki, and Sota Hiraga. "Identification of two new genes,." MGG Molecular & General Genetics 250, no. 3 (1996): 241. http://dx.doi.org/10.1007/s004380050073.

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Ebrahim, Ashitha, and Joby George. "Liver Cancer Key Genes Identification." International Journal of Innovative Technology and Exploring Engineering 10, no. 4 (2021): 91–97. http://dx.doi.org/10.35940/ijitee.d8497.0210421.

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Liver diseaseis perhaps thedeadliest malignant grow th on the planet. In momentum contemplates, the capabilities for being chosen as key qualities in illnesses is bit low, constraining the precision of the anticipated key qualities in infections. To distinguish the key qualities of liver malignant growth with high exactness, and coordinated different microarray quality articulation datasets identified with the liver disease utilized. At that point recognize their basic DEGs (Differentially Expressed Genes) which will bring about more exact than those from the individual dataset. The datasets a
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Hogancamp, William E., Moses Rodriguez, and Brian G. Weinshenker. "Identification of Multiple Sclerosis-Associated Genes." Mayo Clinic Proceedings 72, no. 10 (1997): 965–76. http://dx.doi.org/10.4065/72.10.965.

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Rowe, Paul M. "Identification of hypertension genes comes closer." Lancet 355, no. 9214 (2000): 1525. http://dx.doi.org/10.1016/s0140-6736(05)74583-9.

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Dissertations / Theses on the topic "Genes identification"

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Yu, Zhan. "Identification of putative retrotransposition in genes." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18435.

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Retrotransposition is an active process in mammalian gene evolution. It involves the reverse transcription of an mRNA transcript and the subsequent re-integration of the resulting cDNA into genomic DNA. This study was to derive a complete picture of the role of gene retrotransposition in the genome evolution of vertebrates, particularly in mammals. A robust procedure to annotate putative retrogenes (PRs) was applied to eight vertebrate genomes (human, chimp, dog, cow, rat, mouse, chicken and the puffer-fish T. nigriviridis). Mammalian genomes were estimated to contain 400-800 PRs (up to ~4% of
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Thorarinsdottir, Thorhildur. "Identification of Smad4 transcriptional target genes." Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=79147.

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Inactivating mutations of the TGF-beta signaling pathway, including SMAD4, have been identified in a wide variety of human tumors and can lead to resistance to TGF-beta induced growth arrest. SMAD4 itself has been firmly established as a tumor suppressor while despite the massive information gathered on TGF-beta signaling the contribution of SMAD4 inactivation in tumor progression remains elusive. It is largely unknown which particular genes involved in tumor progression require SMAD4 for their transcriptional regulation. Smad4-/- murine fibroblasts were shown to display normal growth i
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McAuley, Erica Zoe Prince of Wales Medical Research Institute Faculty of Medicine UNSW. "Identification of bipolar disorder susceptibility genes." Publisher:University of New South Wales. Prince of Wales Medical Research Institute, 2009. http://handle.unsw.edu.au/1959.4/43690.

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Bipolar affective disorder is a severe mood disorder, which is characterised by episodes of mania and depression. The aetiology of bipolar disorder remains elusive, with little known about the underlying biological, anatomical, or biochemical effects. However, family, twin and adoption studies provide evidence for a strong genetic component to the disorder. Due to the high heritability, familial clustering, and common population prevalence of the illness, molecular genetic studies can be implemented to identify bipolar disorder susceptibility genes. This thesis investigated the candidate gene
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Morrow, Michelle Ann. "Identification of genes controlling lymphocyte development." Thesis, University of Cambridge, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.620377.

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Rymer, Karen. "Identification of Candidate Genes for Craniosynostosis." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3782.

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Craniosynostosis is a disorder characterized by the premature fusing of cranial sutures in an infant. Premature closure of these sutures can lead to detrimental consequences on the development of a child. The two broad categories of craniosynostosis are classified as syndromic and nonsyndromic. Nonsyndromic craniosynostosis involves only the fusion of one or more sutures, whereas syndromic craniosynostosis involves other abnormalities throughout the body of the affected individual. Two of the families analyzed in this study were of the syndromic nature, and known FGFR mutations were discovered
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Andersson, Malin. "A method for identification of putatively co-regulated genes." Thesis, University of Skövde, Department of Computer Science, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-705.

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<p>The genomes of several organisms have been sequenced and the need for methods to analyse the data is growing. In this project a method is described that tries to identify co-regulated genes. The method identifies transcription factor binding sites, documented in TRANSFAC, in the non-coding regions of genes. The algorithm counts the number of common binding sites and the number of unique binding sites for each pair of genes and decides if the genes are co-regulated. The result of the method is compared with the correlation between the gene expression patterns of the genes. The method is test
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Münzner, Ulrike. "Gene fishing in Cataglyphis fortis – Identification of genes inthe desert ant." Thesis, Linköping University, Department of Physics, Chemistry and Biology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-20455.

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<p>The desert ant Cataglyphis fortis lives in the Sahara desert where it is exposed to extreme temperatures up to 70° C. In other words, the organism is considered as a thermophile. Until now the genome remains unknown but the fact that C. fortis provides heat stable proteins makes it very interesting in the field of protein studies and maybe even therapeutical research later on. This thesis focuses on trying to find genes that are expressed in C. fortis. Different genes were chosen and capable primers designed. After fishing for the enzyme GAPDH a fragment was found and sequenced. The sequenc
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Basile, Walter. "Orphan Genes Bioinformatics : Identification and properties of de novo created genes." Doctoral thesis, Stockholms universitet, Institutionen för biokemi och biofysik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-149168.

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Even today, many genes are without any known homolog. These "orphans" are found in all species, from Viruses to Prokaryotes and Eukaryotes. For a portion of these genes, we might simply not have enough data to find homologs yet. Some of them are imported from taxonomically distant organisms via lateral transfer; others have homologs, but mutated beyond the point of recognition. However, a sizeable fraction of orphan genes is unambiguously created via "de novo" mechanisms. The study of such novel genes can contribute to our understanding of the emergence of functional novelty and the adaptation
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Riaño-Pachón, Diego Mauricio. "Identification of transcription factor genes in plants." Phd thesis, Universität Potsdam, 2008. http://opus.kobv.de/ubp/volltexte/2008/2700/.

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In order to function properly, organisms have a complex control mechanism, in which a given gene is expressed at a particular time and place. One way to achieve this control is to regulate the initiation of transcription. This step requires the assembly of several components, i.e., a basal/general machinery common to all expressed genes, and a specific/regulatory machinery, which differs among genes and is the responsible for proper gene expression in response to environmental or developmental signals. This specific machinery is composed of transcription factors (TFs), which can be grouped int
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van, Heel David Alexander. "Identification of inflammatory bowel disease susceptibility genes." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249199.

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Books on the topic "Genes identification"

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To, Minh Dong. Identification of transcriptionally deregulated genes in breast cancer. National Library of Canada, 1998.

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Looser, Jens. Identification of two novel CVC domain-containing homeobox genes. National Library of Canada, 1995.

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King, Kathryn Elizabeth. Identification and analysis of genes expressed during chondrocyte differentiation. University of Manchester, 1997.

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Finelli, Antonio. Identification of genes important to Pseudomonas aeruginosa biofilm formation. National Library of Canada, 2001.

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Sprowl, Jason A. Identification of PKCa-dependent genes associated with growth arrest in Saccharomyces cerevisiae. Laurentian University, 2004.

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Hingley-Wilson, Suzanne Maria. The detection and identification of macrophage genes induced by intracellular infection with mycobacterium tuberculosis. University of Birmingham, 1998.

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El-Aggoury, Abdelgader K. Youssef. Identification of genes that are differently expressed with retinoic acid treatment in early Xenopus embryos. typescript, 1997.

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Whittaker, Catherine Jill. Identification and cloning of Streptococcus gordonii LGR2 genes encoding adhesins for saliva-coated hydroxyapatite (SHA). University of Manchester, 1993.

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Barondes, Samuel H. Mood genes: Hunting for origins of mania and depression. Penguin, 1999.

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Mood genes: Hunting for origins of mania and depression. W.H. Freeman, 1998.

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Book chapters on the topic "Genes identification"

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Bhagwat, Medha. "Identification of Disease Genes." In Comparative Genomics. Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-515-2_24.

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Schütt, Christine. "Identification of Differentially Expressed Genes." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45006-2_10.

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Hozier, J. C., L. M. Davis, P. D. Siebert, K. Dietrich, and M. C. Paterson. "Finding Candidate Genes by Preparative in Situ Hybridization." In Identification of Transcribed Sequences. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2562-2_13.

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Bartpho, Thanatchaporn, and Gerald L. Murray. "Identification of Genes Essential for Leptospirosis." In Gene Essentiality. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2398-4_5.

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Gerhard, Glenn S., Barbara V. Paynton, and Johanna K. DiStefano. "Identification of Genes for Hereditary Hemochromatosis." In Methods in Molecular Biology. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7471-9_19.

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Hill, W. G., and S. Knott. "Identification of Genes with Large Effects." In Advances in Statistical Methods for Genetic Improvement of Livestock. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-74487-7_21.

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Tribioli, C., E. Maestrini, S. Bione, et al. "Identification of Genes and Construction of a Transcriptional Map in Xq28." In Identification of Transcribed Sequences. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4615-2562-2_2.

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Borman, Andrew M., and Elizabeth M. Johnson. "Sequence-based Identification and Classification of Fungi." In Trends in the systematics of bacteria and fungi. CABI, 2021. http://dx.doi.org/10.1079/9781789244984.0198.

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Abstract This book chapter describes the advantages and limitations of the ITS Region as a universal barcode for fungal identification. The ITS region offers several practical advantages as a universal fungal barcode region. The region encompasses segments that permit resolution at different taxonomic levels as it includes the highly conserved 5.8S rRNA gene, the moderately rapidly evolving ITS2 region and the rapidly evolving ITS1 region, flanked by the highly conserved SSU and LSU genes which permit design of PCR primers that are almost panfungal. Over the last two decades the sequence-based identification of fungi has certainly come of age. The ITS region is universally accepted as the primary fungal barcoding region owing to the high barcode gap with the locus for many groups of fungi. Since the species-resolution power of ITS is poor for certain groups of fungi, and higher-level taxonomic resolution is greater with proteincoding genes, the TEF1α locus has been proposed as the universal secondary barcode region. In addition, the historical problems surrounding the reliability of fungal DNA sequences in centralized repositories are slowly being resolved by the development of an increasing number of publicly accessible, curated databases.
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Entian, K. D., C. Klein, and C. Kaletta. "Identification of Genes Involved in Lantibiotic Biosynthesis." In Bacteriocins, Microcins and Lantibiotics. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-76974-0_11.

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Hamilton, A. J., M. Bouzayen, and D. Grierson. "Identification of Genes Encoding EFE in Tomato." In Cellular and Molecular Aspects of the Plant Hormone Ethylene. Springer Netherlands, 1993. http://dx.doi.org/10.1007/978-94-017-1003-9_13.

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Conference papers on the topic "Genes identification"

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Du, Nan, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Chiu B. Hsiao, and Aidong Zhang. "An Artificial Fish Swarm based Supervised Gene Rank Aggregation Algorithm for Informative Genes Studies." In Computational Intelligence and Bioinformatics / Modelling, Simulation, and Identification. ACTAPRESS, 2011. http://dx.doi.org/10.2316/p.2011.753-019.

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Du, Nan, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Chiu B. Hsiao, and Aidong Zhang. "An Artificial Fish Swarm based Supervised Gene Rank Aggregation Algorithm for Informative Genes Studies." In Computational Intelligence and Bioinformatics / Modelling, Simulation, and Identification. ACTAPRESS, 2012. http://dx.doi.org/10.2316/p.2012.753-019.

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Senadheera, S. P. B. M., and A. R. Weerasinghe. "Hub Genes Identification in Brain Cancer with Gene Expression Data." In 2020 20th International Conference on Advances in ICT for Emerging Regions (ICTer). IEEE, 2020. http://dx.doi.org/10.1109/icter51097.2020.9325446.

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Zhen Tian, Maozu Guo, Chunyu Wang, Linlin Xing, Lei Wang, and Yin Zhang. "Constructing an integrated gene similarity network for the identification of disease genes." In 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2016. http://dx.doi.org/10.1109/bibm.2016.7822768.

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Dongxiao Zhu and Alfred O Hero. "Identifying differentially expressed genes from probe level intensities in longitudinal affymetrix microarray experiments." In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628818.

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Aga, H., N. Hallahan, W. Jonas та ін. "Identification of novel genes mediating β-cell failure". У Diabetes Kongress 2019 – 54. Jahrestagung der DDG. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-1688106.

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Fields, Chris, Mark D. Adams, Anthony R. Kerlavage, et al. "IDENTIFICATION OF GENES IN GENOMIC AND EST SEQUENCES." In Proceedings of the 2nd International Conference. WORLD SCIENTIFIC, 1993. http://dx.doi.org/10.1142/9789814503655_0035.

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Zhou, Xin, Jianmin Pang, Fudong Liu, Jun Wang, Feng Yue, and Xiaonan Liu. "Pdf Exploitable Malware Analysis Based on Exploit Genes." In 2018 12th IEEE International Conference on Anti-counterfeiting, Security, and Identification (ASID). IEEE, 2018. http://dx.doi.org/10.1109/icasid.2018.8693126.

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Byung-Jun Yoon and P. P. Vaidyanathan. "An overview of the role of context-sensitive HMMS in the prediction of NCRNA genes." In 2005 Microwave Electronics: Measurements, Identification, Applications. IEEE, 2005. http://dx.doi.org/10.1109/ssp.2005.1628811.

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Mikov, D. S., E. R. Davoyan, Yu S. Zubanova, V. Ya Kovtunenko, V. V. Panchenko, and A. P. Kalmysh. "Identification of triticale lines resistant to leaf rust in the National Center of Grain named after P.P. Lukyanenko." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-68.

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Creation of leaf rust resistant varieties is one of the main aims of breeding of this crop. 94 lines of triticale were screened on the presence of genes Lr10, Lr25, Lr26 and its combinations. Lr26 gene was identified in all samples, 3 lines are carriers of Lr10 gene and presence of Lr25 was established in 4 lines. Combination Lr10+Lr26 was identified in lines 13-15т2-6, 13-15т2-7, 13-99т5-7 and 10-205т3-31, combination Lr25+Lr26 was established in lines 13-159т1-17, 12-80т14-1, 12-т1т-5 and 12-80т14-10. Eighty-five lines are resistant to leaf rust and nine lines are susceptible. In four lines
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Reports on the topic "Genes identification"

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Wilhelmsen, Kirk C. Identification of Alcoholism Susceptibility Genes. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada422923.

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Wilhelmsen, Kirk C. Identification of Alcoholism Susceptibility Genes. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada410272.

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Harper, Jeffrey W. Identification of Genes Regulated by Protoelysis. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada417074.

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Harper, Jeffrey. Identification of Genes Regulated by Proteolysis. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada408062.

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Talmagae, David. Identification of Retinoid Induced Growth Suppressing Genes. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada382917.

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Ditta, G. Identification and manipulation of Rhizobium phytohormone genes. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/7045705.

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Gelman, Irwin H. Identification of Novel Breast Cancer Metastasis-Suppressor Genes. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada540929.

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Wang, Hua. Identification of Genes Regulating the Development of Breast Cancer. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada485725.

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Moser, Amy R. Identification of Genes Controlling Mammary Tumor Development and Progression. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada416094.

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Qi, Chao. Identification of Novel Tumor Suppressor Genes for Breast Cancer. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada453400.

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