Computational Biology: Issues and Applications in Oncology (Applied Bioinformatics and Biostatistics in Cancer Research) - Image 1

£149.86

Springer Computational Biology: Issues and Applications in Oncology (Applied Bioinformatics and Biostatistics in Cancer Research)

Name: Computational Biology: Issues and Applications in Oncology (Applied Bioinformatics and Biostatistics in Cancer Research)
Brand: Springer
Price: 149.86 GBP
Availability: InStock

Public Health

This is the usual price. Wait for it to drop, or tell us your number.

£150 today · usual range £0–£0 · best ever £30

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 500 days • 500 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 500 days • 3 price ranges

Days at Price

Current Price

Price Analysis

Most common range: £129-162 (371 days, 74.2%)

Price range: £30 - £195

Price levels: 3 price ranges over 500 days

Description

Computational biology is an interdisciplinary research that applies approaches and methodologies of information sciences and engineering to address complex pr- lems in biology. With rapid developments in the omics and computer technologies over the past decade, computational biology has been evolving to cover a much wider research domain and applications in order to adequately address challenging problems in systems biology and medicine. This edited book focuses on recent - sues and applications of computational biology in oncology. This book contains 11 chapters that cover diverse advanced computationalmethods applied to oncologyin an attempt to ?nd more effective ways for the diagnosis and cure of cancer. Chapter 1 by Chen and Nguyen addresses an analysis of cancer genomics data using partial least squares weights for identifying relevant genes, which are useful for follow-up validations. In Chap. 2, Zhao and Yan report an interesting biclust- ing method for microarray data analysis, which can handle the case when only a subset of genes coregulates under a subset of conditions and appears to be a novel technique for classifying cancer tissues. As another computational method for - croarray data analysis, the work by Le ˆ Cao and McLachlan in Chap. 3 discusses the dif?culties encountered when dealing with microarray data subjected to sel- tion bias, multiclass, and unbalanced problems, which can be overcome by careful selection of gene expression pro?les. Novel methods presented in these chapters can be applied for developing diagnostic tests and therapeutic treatments for cancer patients. From the Back Cover Computational Biology: Issues and Applications in Oncology provides a comprehensive report on recent techniques and results in computational oncology essential to the knowledge of scientists, engineers, as well as postgraduate students working on the areas of computational biology, bioinformatics, and medical informatics. With chapters timely prepared and written by experts in the field, this in-depth and up-to-date volume covers advanced statistical methods, heuristic algorithms, cluster analysis, data modeling, image and pattern analysis applied to cancer research. The literature and coverage of a spectrum of key topics in issues and applications in oncology make this a useful resource to computational life-science researchers wishing to enhance the most recent knowledge to facilitate their own investigations.

Product Specifications

Brand: Springer
Format: Hardcover
ASIN: 1441908102
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > General Medical Issues > Public Health
Domain: Amazon UK
Release Date: 29 October 2009
Listed Since: 23 April 2009

Barcode

No barcode data available

Springer Computational Biology: Issues and Applications in Oncology (Applied Bioinformatics and Biostatistics in Cancer Research)

This is the usual price. Wait for it to drop, or tell us your number.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Practical Applications of Computational Biology and Bioinformatics, 13th International Conference: 1005 (Advances in Intelligent Systems and Computing, 1005)

Computational Systems Biology of Cancer (Chapman & Hall/CRC Computational Biology Series)

Computational Systems Biology of Cancer (Chapman & Hall/CRC Computational Biology Series)

Cancer Bioinformatics: 1878 (Methods in Molecular Biology, 1878)

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020): 1240 (Advances in Intelligent Systems and Computing, 1240)

Practical Applications of Computational Biology & Bioinformatics, 14th International Conference (PACBB 2020): 1240 (Advances in Intelligent Systems and Computing, 1240)

Computational and Analytic Methods in Biological Sciences: Bioinformatics with Machine Learning and Mathematical Modelling

Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence, 712)

Granular Neural Networks, Pattern Recognition and Bioinformatics: 712 (Studies in Computational Intelligence, 712)

Introduction to Bioinformatics with R: A Practical Guide for Biologists (Chapman & Hall/CRC Computational Biology Series)

Application of Bioinformatics in Cancers

Introduction to Bioinformatics with R: A Practical Guide for Biologists (Chapman & Hall/CRC Computational Biology Series)

Hands on Data Science for Biologists Using Python

Hands on Data Science for Biologists Using Python

Computational Chemogenomics: 1825 (Methods in Molecular Biology, 1825)

Handbook of Cancer Bioinformatics

Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science: 31 (Computational Biology, 31)

Humana Bioinformatics for Omics Data: Methods and Protocols 719

Deep Learning for Biomedical Data Analysis: Techniques, Approaches, and Applications

Intelligent Methods and Big Data in Industrial Applications: 40 (Studies in Big Data, 40)

Artificial Intelligence Applications and Innovations: AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB, ... and Communication Technology, 382)

Systems Medicine: 1386 (Methods in Molecular Biology, 1386)

Immune Mediators in Cancer: Methods and Protocols: 2108 (Methods in Molecular Biology, 2108)

Isolation and Molecular Characterization of Circulating Tumor Cells: 994 (Advances in Experimental Medicine and Biology, 994)