Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome

This book PDF is perfect for those who love Science genre, written by Shruti Mishra and published by Academic Press which was released on 09 May 2018 with total hardcover pages 200. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome books below.

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome
Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome
Author : Shruti Mishra
File Size : 48,9 Mb
Publisher : Academic Press
Language : English
Release Date : 09 May 2018
ISBN : 9780128163573
Pages : 200 pages
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Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome by Shruti Mishra Book PDF Summary

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome helps readers identify and select the specific genes causing oncogenes. The book also addresses the validation of the selected genes using various classification techniques and performance metrics, making it a valuable source for cancer researchers, bioinformaticians, and researchers from diverse fields interested in applying systems biology approaches to their studies. Provides well described techniques for the purpose of gene selection/feature selection for the generation of gene subsets Presents and analyzes three different types of gene selection algorithms: Support Vector Machine-Bayesian T-Test-Recursive Feature Elimination (SVM-BT-RFE), Canonical Correlation Analysis-Trace Ratio (CCA-TR), and Signal-To-Noise Ratio-Trace Ratio (SNRTR) Consolidates fundamental knowledge on gene datasets and current techniques on gene regulatory networks into a single resource

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome

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Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome helps readers identify and select the specific genes causing oncogenes. The book also addresses the validation of the selected genes using various classification techniques and performance metrics, making it a valuable source for cancer researchers, bioinformaticians, and

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