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Gene Expression Data Analysis : A Statistical and Machine Learning Perspective by PANKAJ. BARAH; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita is a nonfiction available to read on EtoBox.

What is Gene Expression Data Analysis : A Statistical and Machine Learning Perspective about?

Development of high throughput technologies in molecular biology during the last two decades has contributed to the production of tremendous amounts of data. Microarray and RNA-sequencing are two such widely used high throughput technologies for monitoring the expression patterns of thousands of genes simultaneously. Data produced from such experiments are voluminous (both in dimensionality and numbers of instances) and evolving in nature. Analysis of huge amounts of data towards the identification of interesting patterns that are relevant for a given biological question requires high performance computational infrastructure as well as efficient machine learning algorithms. Cross-communication of ideas between biologists and computer scientists remains a big challenge. Gene Expression Data Analysis: A Statistical and Machine Learning Perspective has been written keeping a multi-disciplinary audience in mind. The book discusses gene expression data analysis from molecular biology, machine learning and statistical perspectives. Readers will be able to acquire both theoretical as well as practical knowledge of methods for identification of novel patterns of high biological significanc

Who reads Gene Expression Data Analysis : A Statistical and Machine Learning Perspective?

Author

PANKAJ. BARAH; Dhruba Kumar Bhattacharyya; Jugal Kumar Kalita

Publisher

CRC Press, Taylor & Francis Group

Published

2021

Language

EN

ISBN

9781000425734

Category

nonfiction

Subjects

Computer Science, Health & Fitness, Science