CRC Press Gene Expression Data Analysis - Statistical & ML Methods

Gene Expression Data Analysis: A Statistical and Machine Learning Perspective by CRC Press provides comprehensive guidance for analysing high-throughput molecular biology data generated from microarray and RNA sequencing technologies. This authoritative text addresses the challenge of processing voluminous, high-dimensional datasets to identify meaningful biological patterns. Designed for researchers and data scientists working with gene expression studies, the book combines statistical rigour with practical machine learning approaches to tackle real-world analysis problems. Whether you're new to transcriptomics data or seeking advanced analytical techniques, this resource equips you with methods and frameworks for extracting actionable insights from complex gene expression experiments.