Gene Expression Data Analysis : A Statistical and Machine Learning Perspective EPUB
by Pankaj (Tezpur Univ.) Barah, Dhruba Kumar (Tezpur Univ.) Bhattacharyya, Jugal Kumar (University of Colorado) Kalita
EPUB
Description
An introduction to the Central Dogma of molecular biology and information flow in biological systems. A systematic overview of the methods for generating gene expression data. Background knowledge on statistical modeling and machine learning techniques. Detailed methodology of analyzing gene expression data with an example case study. Clustering methods for finding co-expression patterns from microarray, bulkRNA and scRNA data. A large number of practical tools, systems and repositories that are useful for computational biologists to create, analyze and validate biologically relevant gene expression patterns. Suitable for multi-disciplinary researchers and practitioners in computer science and biological sciences.
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:378 pages, 42 Tables, black and white; 68 Line drawings, black and white; 2 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:21/11/2021
- Category:
- ISBN:9781000425758
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:378 pages, 42 Tables, black and white; 68 Line drawings, black and white; 2 Halftones, black and whi
- Publisher:Taylor & Francis Ltd
- Publication Date:21/11/2021
- Category:
- ISBN:9781000425758
