Learn IT - Books tags biology

Bioinformatics with Python Cookbook: Learn how to use modern Python bioinformatics libraries and applications to do cutting-edge research in computational biology, 2nd Edition

Packt Publishing, 2018

Discover modern, next-generation sequencing libraries from Python ecosystem to analyze large amounts of biological data

Key Features

Perform complex bioinformatics analysis using the most important Python libraries and applications

Implement next-generation sequencing,...

Maximum Likelihood Estimation and Inference: With Examples in R, SAS and ADMB

John Wiley & Sons, 2011

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It begins with an intuitive introduction to the concepts and background of likelihood, and moves through to the latest developments in maximum likelihood methodology, including general latent variable...

Biostatistics with R: An Introduction to Statistics Through Biological Data (Use R!)

Springer, 2011

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language.

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Simulation and Inference for Stochastic Differential Equations: With R Examples (Springer Series in Statistics)

Springer, 2008

This book covers a highly relevant and timely topic that is of wide interest, especially in finance, engineering and computational biology. The introductory material on simulation and stochastic differential equation is very accessible and will prove popular with many readers. While there are several recent texts available that cover...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Data Mining in Drug Discovery

John Wiley & Sons, 2013

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources, covering all key steps in rational drug discovery, from compound screening to lead compound selection and personalized medicine. Clearly divided into four sections, the first part discusses the different...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

Springer, 2019

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

WALCOM: Algorithms and Computation: Second International Workshop, WALCOM 2008, Dhaka, Bangladesh, February 7-8, 2008, Proceedings (Lecture Notes in Computer Science)

Springer, 2008

This book constitutes the refereed proceedings of the Second International Workshop on Algorithms and Computation, WALCOM 2008, held in Dhaka, Bangladesh, in February 2008.

The 19 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 57 submissions. The papers feature...

Bayesian Networks in R: with Applications in Systems Biology (Use R!)

Springer, 2013

While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...

From Semantics to Computer Science: Essays in Honour of Gilles Kahn

Cambridge University Press, 2009

Gilles Kahn was one of the most influential figures in the development of computer science and information technology, not only in Europe but throughout the world. This volume of articles by several leading computer scientists serves as a fitting memorial to Kahn's achievements and reflects the broad range of subjects to which he contributed...

Evolutionary Computation 1: Basic Algorithms and Operators

Taylor & Francis, 2000

The original Handbook of Evolutionary Computation (Back et a1 1997) was designed to fulfil1 the need for a broad-based reference book reflecting the important role that evolutionary computation plays in a variety of disciplinesranging from the natural sciences and engineering to evolutionary biology and computer...

Probability: With Applications and R

John Wiley & Sons, 2013

An introduction to probability at the undergraduate level

Chance and randomness are encountered on a daily basis. Authored by a highly qualified professor in the field, Probability: With Applications and R delves into the theories and applications essential to obtaining a thorough understanding of probability.

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