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CRC Press Gene Expression Data Analysis - Statistical Book

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Description

The rapid development of high-throughput technologies in molecular biology has led to the production of massive amounts of biological data. This book addresses the challenges of managing and interpreting these voluminous datasets. It focuses on microarray and RNA sequencing, which are two of the most widely used technologies for monitoring expression patterns across thousands of genes simultaneously. As data continues to grow in both dimensionality and number of instances, researchers need effective methods to find meaningful patterns. This text provides a perspective rooted in statistics and machine learning to help navigate these evolving datasets. It is designed to assist in the identification of patterns that are relevant to specific biological questions, making it a necessary resource for those working with large-scale genomic information.

Key Features

Covers high-throughput technologies like microarray and RNA sequencing for monitoring gene expression patterns.

Provides a statistical and machine learning perspective for handling large-scale biological data.

Addresses the challenges of high dimensionality and large numbers of instances in modern datasets.

Focuses on identifying meaningful patterns that are relevant to specific biological research questions.

Designed to help researchers manage and analyze evolving and voluminous molecular biology data.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
22 November 2021
Listed Since
18 February 2021

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No barcode data available

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