Computational and Statistical Approaches to Genomics
Wei Zhang · Ilya Shmulevich
5/2007 · Springer Science & Business Media
E‑kniha
329
Počet strán
reportHodnotenia a recenzie nie sú overené Ďalšie informácie
Táto e‑kniha
At the beginning of the post-sequencing era, biology must now work with the enormous amounts of quantitative data being amassed and must render complex problems in mathematical terms, with all of the computational effort that entails. This phenomenon is perhaps best exemplified by the interdisciplinary scientific activity caused by the advent of high-throughput cDNA microarray technology, which facilitates large-scale surveys of gene expression. Biologists must now work together with engineers, statisticians, computer scientists, and other specialists, in order to attain a holistic understanding of the complex relationship between genes within the genome and uncover genetic function and regulation.
Computational and Statistical Genomics aims to help researchers deal with current genomic challenges. Topics covered include:
Computational and Statistical Genomics aims to help researchers deal with current genomic challenges. Topics covered include:
- overviews of the role of supercomputers in genomics research, the existing challenges and directions in image processing for microarray technology, and web-based tools for microarray data analysis;
- approaches to the global modeling and analysis of gene regulatory networks and transcriptional control, using methods, theories, and tools from signal processing, machine learning, information theory, and control theory;
- state-of-the-art tools in Boolean function theory, time-frequency analysis, pattern recognition, and unsupervised learning, applied to cancer classification, identification of biologically active sites, and visualization of gene expression data;
- crucial issues associated with statistical analysis of microarray data, statistics and stochastic analysis of gene expression levels in a single cell, statistically sound design of microarray studies and experiments; and
- biological and medical implications of genomics research.
This book is for any researcher, in academia and industry, in biology, computer science, statistics, or engineering, involved in genomic problems. It could also be used as an advanced level textbook in a course focusing on genomic signals, information processing, or genome biology.
O autorovi
Wei Zhang is an Associate Professor in the Cancer Genomics Laboratory, University of Texas M.D. Anderson Cancer Center Ilya Shmulevich is an Assistant Professor in the Cancer Genomics Laboratory, University of Texas M.D. Anderson Cancer Center.
Ohodnoťte túto elektronickú knihu
Povedzte nám svoj názor.
Informácie o dostupnosti
Smartfóny a tablety
Nainštalujte si aplikáciu Knihy Google Play pre Android a iPad/iPhone. Automaticky sa synchronizuje s vaším účtom a umožňuje čítať online aj offline, nech už ste kdekoľvek.
Laptopy a počítače
Audioknihy zakúpené v službe Google Play môžete počúvať prostredníctvom webového prehliadača v počítači.
Čítačky elektronických kníh a ďalšie zariadenia
Ak chcete tento obsah čítať v zariadeniach využívajúcich elektronický atrament, ako sú čítačky e‑kníh Kobo, musíte stiahnuť príslušný súbor a preniesť ho do svojho zariadenia. Pri prenose súborov do podporovaných čítačiek e‑kníh postupujte podľa podrobných pokynov v centre pomoci.
