Computational biology / bioinformatics

The recent dramatic advances inbiotechnology have led to an explosion of data in the life sciences at the molecular level as well as more detailed observation and ch- acterization at the cellular and tissue levels.

One of the primary purposes and obligations of science, in addition to - derstandingnatureingeneralandlifeinparticular, istoassistinenhancing the quality and longevity of life, indeed a most daunting challenge.

This volume explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine.

This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences.

This monograph explores the use of mathematical modeling and control theory in a variety of contemporary challenges in mathematical biology and environmental sciences.

Applied Multivariate Statistical Analysis in Medicine provides a multivariate conceptual framework that allows readers to understand the interconnectivity and interrelations among variables, which maintains the intrinsic precision of statistical theories.

Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem-from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing.

Tools for Chemical Product Design: From Consumer Products to Biomedicine describes the challenges involved in systematic product design across a variety of industries and provides a comprehensive overview of mathematical tools aimed at the design of chemical products, from molecular design to customer products.

Fundamentals and Analytical Applications of Multi-Way Calibration presents researchers with a set of effective tools they can use to obtain the maximum information from instrumental data.

PDE Modeling of Tissue Engineering and Regenerative Medicine: Computer Analysis in R presents the formulation and computer implementation of mathematical models for the forefront research areas of tissue engineering and regenerative medicine.

Applications of Artificial Intelligence in Medical Imaging provides the description of various biomedical image analysis in disease detection using AI that can be used to incorporate knowledge obtained from different medical imaging devices such as CT, X-ray, PET and ultrasound.

This book is out of a workshop organized to address questions like these.

This book discusses the emergence of life, the development of the individual, and the study of the interaction between individuals and species.

Based on a workshop held at the Santa Fe Institute in June, 1990, this book explores structure in organisms-both physical and dynamical-and presents the current status of the search for natural pathways, principles of organization, and the theory of design for organisms.

This book is out of a workshop organized to address questions like these.

This book discusses the emergence of life, the development of the individual, and the study of the interaction between individuals and species.

Based on a workshop held at the Santa Fe Institute in June, 1990, this book explores structure in organisms-both physical and dynamical-and presents the current status of the search for natural pathways, principles of organization, and the theory of design for organisms.

Chromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology.

Chromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology.

This book explores the remarkable information correspondences and probability structures of proteins.

This book explores the remarkable information correspondences and probability structures of proteins.

Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline"e; of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale.

Bioinformatics is a relatively new field of research.

Farming Human Pathogens: Ecological Resilience and Evolutionary Process introduces a cutting-edge mathematical formalism based on the asymptotic limit theorems of information theory to describe how punctuated shifts in mesoscale ecosystems can entrain patterns of gene expression and organismal evolution.

Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods.

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework.

There has been a long history of interaction  between mathematics and physiology.

Innate immunity is one the most evolutionally conserved systems, designed to protect the organism from viruses and bacterial infections, stress and many other types of attacks from the outside world.

This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics.

Dynamic-clamp is a fascinating electrophysiology technique that consists of merging living neurons with computational models.

This monograph presents a general mathematical theory for biological growth.

This book applies methods from nonlinear dynamics to problems in neuroscience.

In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies.

In recent years there has been an explosion of network data - that is, measu- ments that are either of or from a system conceptualized as a network - from se- ingly all corners of science.

The papers in this volume comprise the refereed proceedings of the First Int- national Conference on Computer and Computing Technologies in Agriculture (CCTA 2007), in Wuyishan, China, 2007.

The papers in this volume comprise the refereed proceedings of the the First International Conference on Computer and Computing Technologies in Ag- culture (CCTA 2007), in Wuyishan, China, 2007.

Bioconductor software has become a standard tool for the analysis and comprehension of data from high-throughput genomics experiments.

In this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology.

Introduction to Computational Cardiology provides a comprehensive, in-depth treatment of the fundamental concepts and research challenges involved in the mathematical modeling and computer simulation of dynamical processes in the heart, under normal and pathological conditions.

This book is an overview of mathematical physiology.

One of the "e;image"e; problems with wavelets is that because they have been a dominant area of interest (in nonparametric smoothing) people have forgotten that they are general tools with a fascinating role and future in other areas.

The study of brain function is one of the most fascinating pursuits of m- ern science.

Our basic question is: Given a collection of DNA sequences, what underlying forces are responsible for the observed patterns of variability?

The purpose of this book is to examine the etiology of cancer in large human populations using mathematical models developed from an inter-disciplinary perspective of the population epidemiological, biodemographic, genetic and physiological basis of the mechanisms of cancer initiation and progression.

Sir Francis Crick would undoubtedly be at the front of the line ordering this fascinating book.

Two important types of models for reliability and genetics, the semi-Markov and hidden semi-Markov models are presented in this book.

This book provides balanced coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods.

This book is about using interactive and dynamic plots on a computer screen as part of data exploration and modeling, both alone and as a partner with static graphics and non-graphical computational methods.

Biological and biomedical sciences are becoming more interdisciplinary, and scientists of the future need inte rdisciplinary training instead of the conventional disciplinary training.

This text presents mathematical biology as a field with a unity of its own, rather than only the intrusion of one science into another.