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Letteratura scientifica selezionata sul tema "Systems biology"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Systems biology"

1

Bertolaso, Marta, Alessandro Giuliani, and Laura De Gara. "Systems biology reveals biology of systems." Complexity 16, no. 6 (2010): 10–16. http://dx.doi.org/10.1002/cplx.20353.

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Caplan, Michael. "Systems Biology and the Biology of Systems." Physiology 25, no. 2 (2010): 58. http://dx.doi.org/10.1152/physiol.00010.2010.

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SLIKKER, WILLIAM, ZENGJUN XU, and CHENG WANG. "Systems Biology/Systems Toxicology." Annals of the New York Academy of Sciences 1053, no. 1 (2008): 309–10. http://dx.doi.org/10.1111/j.1749-6632.2005.tb00038.x.

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Liu, Edison T. "Systems Biology, Integrative Biology, Predictive Biology." Cell 121, no. 4 (2005): 505–6. http://dx.doi.org/10.1016/j.cell.2005.04.021.

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Ho, R. L., and C. A. Lieu. "Systems Biology." Drugs in R & D 9, no. 4 (2008): 203–16. http://dx.doi.org/10.2165/00126839-200809040-00001.

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Lederman, Lynne. "Systems Biology." BioTechniques 37, no. 6 (2004): 889–91. http://dx.doi.org/10.2144/04376tn01.

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Krivine, Jean. "Systems biology." ACM SIGLOG News 4, no. 3 (2017): 43–61. http://dx.doi.org/10.1145/3129173.3129182.

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HENRY, CELIA M. "SYSTEMS BIOLOGY." Chemical & Engineering News Archive 83, no. 7 (2005): 47–55. http://dx.doi.org/10.1021/cen-v083n007.p047.

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HENRY, CELIA M. "SYSTEMS BIOLOGY." Chemical & Engineering News Archive 81, no. 20 (2003): 45–55. http://dx.doi.org/10.1021/cen-v081n020.p045.

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Ehrenberg, Måns. "Systems Biology." FEBS Letters 583, no. 24 (2009): 3881. http://dx.doi.org/10.1016/j.febslet.2009.11.028.

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Più fonti

Tesi sul tema "Systems biology"

1

Xia, Tian. "Network modeling in systems biology." [Ames, Iowa : Iowa State University], 2010. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3403845.

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Apgar, Joshua Farley. "Experiment design for systems biology." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/61217.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biological Engineering, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 219-233).<br>Mechanism-based chemical kinetic models are increasingly being used to describe biological signaling. Such models serve to encapsulate current understanding of pathways and to enable insight into complex biological processes. Despite the growing interest in these models, a number of challenges frustrate the construction of high-quality models. First, the chemical reactions that control biochemical process

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de, Back Walter. "Multicellular Systems Biology of Development." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-209110.

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Embryonic development depends on the precise coordination of cell fate specification, patterning and morphogenesis. Although great strides have been made in the molecular understanding of each of these processes, how their interplay governs the formation of complex tissues remains poorly understood. New techniques for experimental manipulation and image quantification enable the study of development in unprecedented detail, resulting in new hypotheses on the interactions between known components. By expressing these hypotheses in terms of rules and equations, computational modeling and simulat

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Dhondalay, G. K. R. "Systems biology of breast cancer." Thesis, Nottingham Trent University, 2013. http://irep.ntu.ac.uk/id/eprint/316/.

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Breast cancer, with an alarming incidence rate throughout the globe, has attracted significant investigations to identify disease specific biomarkers. Among these, oestrogen receptor (ER) occupies a central role where overexpression is a prognostic indication for breast cancer. The cross-talk between the responsible contenders of ER-associated genes potentially play an important role in the disease aetiology. Investigation of such cross talk is the focus of this thesis. The development of high throughput technologies such as expression microarrays has paved the way for investigating thousands

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Veliz-Cuba, Alan A. "The Algebra of Systems Biology." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/28240.

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In order to understand biochemical networks we need to know not only how their parts work but also how they interact with each other. The goal of systems biology is to look at biological systems as a whole to understand how interactions of the parts can give rise to complex dynamics. In order to do this efficiently, new techniques have to be developed. This work shows how tools from mathematics are suitable to study problems in systems biology such as modeling, dynamics prediction, reverse engineering and many others. The advantage of using mathematical tools is that there is a large num

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Folch, Fortuny Abel. "Chemometric Approaches for Systems Biology." Doctoral thesis, Universitat Politècnica de València, 2017. http://hdl.handle.net/10251/77148.

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The present Ph.D. thesis is devoted to study, develop and apply approaches commonly used in chemometrics to the emerging field of systems biology. Existing procedures and new methods are applied to solve research and industrial questions in different multidisciplinary teams. The methodologies developed in this document will enrich the plethora of procedures employed within omic sciences to understand biological organisms and will improve processes in biotechnological industries integrating biological knowledge at different levels and exploiting the software packages derived from the thesis.

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Kirk, Paul. "Inferential stability in systems biology." Thesis, Imperial College London, 2011. http://hdl.handle.net/10044/1/6455.

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The modern biological sciences are fraught with statistical difficulties. Biomolecular stochasticity, experimental noise, and the “large p, small n” problem all contribute to the challenge of data analysis. Nevertheless, we routinely seek to draw robust, meaningful conclusions from observations. In this thesis, we explore methods for assessing the effects of data variability upon downstream inference, in an attempt to quantify and promote the stability of the inferences we make. We start with a review of existing methods for addressing this problem, focusing upon the bootstrap and similar meth

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Camacho, Diogo Mayo. "In silico cell biology and biochemistry: a systems biology approach." Diss., Virginia Tech, 2007. http://hdl.handle.net/10919/27960.

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In the post-"omic" era the analysis of high-throughput data is regarded as one of the major challenges faced by researchers. One focus of this data analysis is uncovering biological network topologies and dynamics. It is believed that this kind of research will allow the development of new mathematical models of biological systems as well as aid in the improvement of already existing ones. The work that is presented in this dissertation addresses the problem of the analysis of highly complex data sets with the aim of developing a methodology that will enable the reconstruction of a biological

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Falin, Lee J. "Systems Uncertainty in Systems Biology & Gene Function Prediction." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/26634.

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The widespread use of high-throughput experimental assays designed to measure the entire complement of a cells genes or gene products has led to vast stores of data which are extremely plentiful in terms of the number of items they can measure in a single sample, yet often sparse in the number of samples per experiment due to their high cost. This often leads to datasets where the number of treatment levels or time points sampled is limited, or where there are very small numbers of technical and/or biological replicates. If the goal is to use this data to infer network models, these sparse dat

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Uluşeker, Cansu. "A Systems and Synthetic Biology Framework for Regulatory Systems." Doctoral thesis, University of Trento, 2018. http://eprints-phd.biblio.unitn.it/3207/1/Cansu_Ulu%C5%9Feker_PhD_Thesis.pdf.

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Biological regulatory systems are complex due to their role in living organisms in modulating precise responses to changes in internal and external conditions. In this respect, mathematical models have become essential tools to address their complexity for a better understanding of their mechanisms. The vision here, based on integrating experimental and theoretical techniques, provides a systematic means to quantitatively study the characteristics of the interactions that occur in living organisms. The outcome of such an endeavour should provide insights in terms of predictions and quantifica

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Libri sul tema "Systems biology"

1

Lei, Jinzhi. Systems Biology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73033-8.

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Maly, Ivan V., ed. Systems Biology. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-525-1.

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CASSMAN, MARVIN, ADAM ARKIN, FRANK DOYLE, FUMIAKI KATAGIRI, DOUGLAS LAUFFENBURGER, and CYNTHIA STOKES, eds. Systems Biology. Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-5468-6.

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Rajewsky, Nikolaus, Stefan Jurga, and Jan Barciszewski, eds. Systems Biology. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92967-5.

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Nielsen, Jens, and Stefan Hohmann, eds. Systems Biology. Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527696130.

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Nakanishi, Shigetada, Ryoichiro Kageyama, and Dai Watanabe, eds. Systems Biology. Springer Japan, 2009. http://dx.doi.org/10.1007/978-4-431-87704-2.

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Prokop, Aleš, and Béla Csukás, eds. Systems Biology. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6803-1.

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Al-Rubeai, Mohamed, and Martin Fussenegger, eds. Systems Biology. Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5252-9.

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Katze, Michael G., ed. Systems Biology. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-33099-5.

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Alberghina, Lila, and H. V. Westerhoff, eds. Systems Biology. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/b95175.

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Capitoli di libri sul tema "Systems biology"

1

Clay, Sylvia M., and Stephen S. Fong. "Systems Biology." In Developing Biofuel Bioprocesses Using Systems and Synthetic Biology. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5580-6_4.

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2

Telenti, Amalio, and Paul McLaren. "Systems Biology." In Encyclopedia of AIDS. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9610-6_29-1.

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Sullivan, Rob. "Systems Biology." In Introduction to Data Mining for the Life Sciences. Humana Press, 2011. http://dx.doi.org/10.1007/978-1-59745-290-8_11.

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Ruiz-Mirazo, Kepa, and Andrés de la Escosura. "Systems Biology." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-44185-5_5173.

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Marcus, Frederick B. "Systems Biology." In Bioinformatics and Systems Biology. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78353-4_3.

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Ruiz-Mirazo, Kepa, and Andrés de la Escosura. "Systems Biology." In Encyclopedia of Astrobiology. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-65093-6_5173.

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Pfäffle, Roland W. "Systems Biology." In Yearbook of Pediatric Endocrinology 2006. KARGER, 2006. http://dx.doi.org/10.1159/000094107.

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Chan, Lawrence S., and William C. Tang. "Systems Biology." In Engineering-Medicine. CRC Press, 2019. http://dx.doi.org/10.1201/9781351012270-17.

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Nilsson, O., and O. Söder. "Systems Biology." In Yearbook of Pediatric Endocrinology 2007. KARGER, 2007. http://dx.doi.org/10.1159/000104842.

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Tiwary, Basant K. "Systems Biology." In Bioinformatics and Computational Biology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-4241-8_8.

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Atti di convegni sul tema "Systems biology"

1

Antezana, Erick, Ward Blondé, Aravind Venkatesan, Bernard De Baets, Vladimir Mironov, and Martin Kuiper. "Semantic systems biology." In the International Conference. ACM Press, 2011. http://dx.doi.org/10.1145/1988688.1988756.

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Ibrahim, Mohammad K. "A Generic Architectural Framework for Proactive Systems Inspired by Molecular Biology." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4519024.

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Besozzi, Daniela, Giancarlo Mauri, Dario Pescini, and Claudio Zandron. "Membrane systems in systems biology." In 2008 9th International Workshop on Discrete Event Systems. IEEE, 2008. http://dx.doi.org/10.1109/wodes.2008.4605959.

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"Bioinformatics and computational biology, systems biology and modeling." In 2014 Cairo International Biomedical Engineering Conference (CIBEC). IEEE, 2014. http://dx.doi.org/10.1109/cibec.2014.7020933.

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Middleton, Richard H. "Systems Biology: The interplay of systems and control research and biology?" In 2009 Chinese Control and Decision Conference (CCDC). IEEE, 2009. http://dx.doi.org/10.1109/ccdc.2009.5195169.

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Winzeler, Elizabeth A., Serge Batalov, Daniel J. Carucci, et al. "Systems biology and malaria." In the eighth annual international conference. ACM Press, 2004. http://dx.doi.org/10.1145/974614.974627.

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Yurovsky, Alisa. "Session details: Systems biology." In BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics. ACM, 2022. http://dx.doi.org/10.1145/3552472.

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ROEDER, INGO. "SYSTEMS STEM CELL BIOLOGY." In International Symposium on Mathematical and Computational Biology. WORLD SCIENTIFIC, 2007. http://dx.doi.org/10.1142/9789812708779_0001.

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Chen, Jake. "Session details: Systems biology." In ISB '10: International Symposium on BioComputing. ACM, 2010. http://dx.doi.org/10.1145/3250322.

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Barat, Suryasarathi, Avishek Das, and Durjoy Majumder. "Systems biology markup language for cancer system." In 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC). IEEE, 2009. http://dx.doi.org/10.1109/nabic.2009.5393652.

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Rapporti di organizzazioni sul tema "Systems biology"

1

Kastenhofer, Karen, ed. Systems Biology: Science or Technoscience? Self, 2020. http://dx.doi.org/10.1553/ita-pa-kk_20_01.

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Chakraborty, Srijani. Promises and Challenges of Systems Biology. Nature Library, 2020. http://dx.doi.org/10.47496/nl.blog.09.

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Modern systems biology is essentially interdisciplinary, tying molecular biology, the omics, bioinformatics and non-biological disciplines like computer science, engineering, physics, and mathematics together.

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Grego, Sonia, Edward R. Dougherty, Francis J. Alexander, et al. Systems Biology for Organotypic Cell Cultures. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1313549.

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Holmes, Philip. Nonlinear Dynamical Systems in Mechanics and Biology. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299148.

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Wang, Zuyi. Systems Biology of Glucocorticoids in Muscle Disease. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada548681.

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Professor Andrew Murray. Sixth International Conference on Systems Biology (ICSB 2005). Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/909148.

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Lee, Peter P. Immunology, Systems Biology, and Immunotherapy of Breast Cancer. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada485652.

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Saunders, Michael. Numerical Optimization Algorithms and Software for Systems Biology. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1107780.

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Palsson, Bernhard O., Ali Ebrahim, and Steve Federowicz. The OME Framework for genome-scale systems biology. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1169326.

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Ruffing, Anne, Travis J. Jensen, Lucas Marshall Strickland, Stephen Meserole, and David Tallant. Systems-Level Synthetic Biology for Advanced Biofuel Production. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1177597.

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