Numerous fascinating breakthroughs in biotechnology have generated large volumes and diverse types of high throughput data that demand the development of efficient and appropriate tools in computational statistics integrated with biological knowledge and computational algorithms. This volume collects contributed chapters from leading researchers to survey the many active research topics and promote the visibility of this research area. This volume is intended to provide an introductory and reference book for students and researchers who are interested in the recent developments of computational statistics in computational biology.
Annibale A, Coolen ACC, Fernandes LP, et al. 2009 Tailored graph ensembles as proxies ornull models forrealnetworks I:tools forquantifying structure. J. Phys.A: Math. Theor. 42, 485001. Arifuzzaman M, Maeda M, Itoh A, et al.
The Handbook for Statistical Genetics is widely regarded as the reference work in the field. However, the field has developed considerably over the past three years.
The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Hitchhiking under positive Darwinian selection. ... Journal of the Royal Statistical Society, Series B 64(4), 657–680. ... In Selected Proceedings of the Sheffield Symposium on Applied Probability, volume 18, pp. 100–117.
Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the ...
This book presents an accessible introduction to elementary probability and statistics and describes the main statistical applications in the field.
Molinaro, A.M., Simon,R., and Pfeiffer, R.M. (2005). Predictionerror estimation:A comparison ofresampling methods. Bioinformatics, 21: 309– 313. Petricoin, E.F., et al. (2002). Useof proteomic patters in serumto identify ovarian cancer.
The statistical methods required by bioinformatics present many new and difficult problems for the research community. This book provides an introduction to some of these new methods.
Some multivariate methods have been specifically designed to decompose the variability between codon usage within the differently abundantamino acids (Grantham et al., 1981; Perrière and Thioulouse, 2002), and this enables discovery of ...
The resulting volume offers timely insights for researchers, students, and industry practitioners. This book is comprised of presentations delivered at the 5th Workshop on Biostatistics and Bioinformatics held in Atlanta on May 5-7, 2017.