"Although Charles Darwin predicted that his theory 'would give zest to ... metaphysics, ' even he would be astonished at the variety of paths his theory has in fact taken. This holds with regard to both gene-Darwinism, a purified Darwinian approach biologizing the social science…
This book is based on a one semester course that the authors have been teaching for several years, and includes two sets of case studies. The first includes chemostat models, predator-prey interaction, competition among species, the spread of infectious diseases, and oscillation…
This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12--16 January, 2015. The book explores the applicability of robust …
This book examines discrete dynamical systems with memory--nonlinear systems that exist extensively in biological organisms and financial and economic organizations, and time-delay systems that can be discretized into the memorized, discrete dynamical systems. It book further di…
This textbook provides an introduction to the free software Python and its use for statistical data analysis. It covers common statistical tests for continuous, discrete and categorical data, as well as linear regression analysis and topics from survival analysis and Bayesian st…
This book celebrates Professor Mathukumalli Vidyasagar's outstanding achievements in systems, control, robotics, statistical learning, computational biology, and allied areas. The contributions in the book summarize the content of invited lectures given at the workshop "Emerging…
Accessible and comprehensive, this guide is an indispensable tool for anyone in the sciences - new and established researchers, students and scientists - looking either to refresh their math skills or to prepare for the broad range of math, statistical and data-related challenge…
This book explores the exciting world of theoretical biology and is divided into three sections. The first section examines the roles played by renowned scientists such as Jacob, Monod, Rosen, Turing, von Bertalanffy, Waddington and Woodger in developing the field of theoretical…
This book explores the exciting world of theoretical biology and is divided into three sections. The first section examines the roles played by renowned scientists such as Jacob, Monod, Rosen, Turing, von Bertalanffy, Waddington and Woodger in developing the field of theoretical…
A large amount of structural data on biomacromolecules is available and the number of resolved structures is growing rapidly. This implies that we have an increasing opportunity to perform so far unprecedented analyses to obtain crucial biological insight. Biomacromolecular stru…
This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic d…
This book constitutes the proceedings of the 12th International Symposium on Bioinformatics Research and Applications, ISBRA 2016, held in Minsk, Belarus, in June 2016. The 25 papers presented in this volume were carefully reviewed and selected from 77 submissions. They were org…
by Schmitz, Ulf, Wolkenhauer, Olaf
fromMethods in molecular biology (Clifton, N.J.)
This volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outloo…
Practical Graph Analytics with Apache Giraph helps you build data mining and machine learning applications using the Apache Foundation?s Giraph framework for graph processing. This is the same framework as used by Facebook, Google, and other social media analytics operations to …
This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source, shareware program R, Professor Zelterman demonstrates the process and outcomes for a…
This book is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical biological and life science problems. If understanding statistics isn?t your strongest suit, you are not especially mathematically-inclined, or if you are…
by Hillis, David M., Hill, Richard W., Sadava, David, Price, Mary V.
This book presents an exciting collection of contributions based on the workshop ℓ́ℓBringing Maths to Lifeℓ́ℓ held October 27-29, 2014 in Naples, Italy.℗ℓ The state-of-the art research in biology and the statistical and analytical challenges facing huge masses of data collection a…
This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computati…
