Frontiers in Computational and Systems BiologyJianfeng Feng, Wenjiang Fu, Fengzhu Sun Springer Science & Business Media, 14.06.2010 - 24 Seiten Biological and biomedical studies have entered a new era over the past two decades thanks to the wide use of mathematical models and computational approaches. A booming of computational biology, which sheerly was a theoretician’s fantasy twenty years ago, has become a reality. Obsession with computational biology and theoretical approaches is evidenced in articles hailing the arrival of what are va- ously called quantitative biology, bioinformatics, theoretical biology, and systems biology. New technologies and data resources in genetics, such as the International HapMap project, enable large-scale studies, such as genome-wide association st- ies, which could potentially identify most common genetic variants as well as rare variants of the human DNA that may alter individual’s susceptibility to disease and the response to medical treatment. Meanwhile the multi-electrode recording from behaving animals makes it feasible to control the animal mental activity, which could potentially lead to the development of useful brain–machine interfaces. - bracing the sheer volume of genetic, genomic, and other type of data, an essential approach is, ?rst of all, to avoid drowning the true signal in the data. It has been witnessed that theoretical approach to biology has emerged as a powerful and st- ulating research paradigm in biological studies, which in turn leads to a new - search paradigm in mathematics, physics, and computer science and moves forward with the interplays among experimental studies and outcomes, simulation studies, and theoretical investigations. |
Inhalt
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Some Critical Data Quality Control Issues of Oligoarrays | 39 |
StochasticProcess Approach to Nonequilibrium Thermodynamics and Biological Signal Transduction | 60 |
Theory and Applications | 83 |
Transcription Factor Binding Site Identification by Phylogenetic Footprinting | 112 |
Learning Network from HighDimensional Array Data | 133 |
Computational Methods for Predicting DomainDomain Interactions | 157 |
Group Variable Selection Methods and Their Applications in Analysis of Genomic Data | 231 |
Modeling ProteinSignaling Networks with Granger Causality Test | 249 |
DNA Copy Number Profiling in Normal and Tumor Genomes | 258 |
Methods and Applications | 283 |
From QTL Mapping to eQTL Analysis | 301 |
An Evaluation of Gene Module Concepts in the Interpretation of Gene Expression Data | 330 |
Readout of Spike Waves in a Microcolumn | 351 |
False Positive Control for GenomeWide ChIPChip Tiling Arrays | 370 |
Irreversible Stochastic Processes Coupled Diffusions and Systems Biochemistry | 174 |
Probability Modeling and Statistical Inference in Periodic Cancer Screening | 203 |
On Construction of the Smallest Onesided Confidence Intervals and Its Application in Identifying the Minimum Effective Dose | 219 |
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Color Plates | 389 |
Andere Ausgaben - Alle anzeigen
Frontiers in Computational and Systems Biology Jianfeng Feng,Wenjiang Fu,Fengzhu Sun Keine Leseprobe verfügbar - 2010 |
Frontiers in Computational and Systems Biology Jianfeng Feng,Wenjiang Fu,Fengzhu Sun Keine Leseprobe verfügbar - 2012 |
Häufige Begriffe und Wortgruppen
algorithm alignments analysis applied approach array association assumed Bayesian binding biological cancer Cell cluster coefficients compared computational conditional considered copy number correlation data set defined dependence detection developed disease distribution domain effect energy eQTL equation error estimated example factors function gene expression genetic genome genotype given Granger causality human identify independent infer input intensity interactions interval likelihood mapping markers matrix mean measure method microarray modules motifs multiple neurons observed obtained pairs parameters positive prediction probability probe problem proposed protein ratio regions regression regulation regulatory represents respectively RNAi sample screening selection sequences shown shows signal significant similar simulation single spatial species Stat statistical structure tion trait transcription true University variables window Zhang