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Chapman and Hall/CRC Feature Selection and Feature Extraction on Omics Data

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Description

Feature Selection and Feature Extraction on Omics Data explores how researchers navigate complex biological datasets to uncover medical breakthroughs and gene discoveries. Written by Chapman and Hall/CRC, this book bridges computational science and biology by explaining the methods used to analyse vast amounts of multi-omics data. It provides practical insight into feature selection and extraction techniques that help identify meaningful patterns within intricate biological information. The approachable writing style makes advanced concepts accessible to researchers, clinicians, and computational biologists working with large-scale genomic, proteomic, and metabolomic datasets. This resource is essential for anyone involved in omics research who needs to extract actionable insights from complicated multi-dimensional biological data to drive medical advancement and therapeutic development.

Key Features

Chapman and Hall/CRC offers comprehensive coverage of feature selection methods used in modern omics research and biological data analysis.

The book explains practical techniques for handling large, complicated multi-omics datasets across genomics, proteomics, and metabolomics.

Written in an approachable manner, this resource makes advanced computational methods accessible to researchers and clinicians without extensive programming backgrounds.

Feature extraction methods presented help identify meaningful biological patterns that lead to better treatments and gene discoveries.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 March 2026
Listed Since
30 September 2025

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