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

Produk Detail:
  • Author : Shruti Mishra
  • Publisher : Academic Press
  • Pages : 200 pages
  • ISBN : 0128163577
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome

Download or Read online Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome full in PDF, ePub and kindle. this book written by Shruti Mishra and published by Academic Press which was released on 09 May 2018 with total page 200 pages. We cannot guarantee that Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Integration and Visualization of Gene Selection and Gene Regulatory Networks for Cancer Genome
  • Author : Shruti Mishra,Debahuti Mishra,Sandeep Kumar Satapathy
  • Publisher : Academic Press
  • Release : 09 May 2018
GET THIS BOOK 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 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

Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics
  • Author : Francisco Azuaje,Joaquin Dopazo
  • Publisher : John Wiley & Sons
  • Release : 24 June 2005
GET THIS BOOK Data Analysis and Visualization in Genomics and Proteomics

Data Analysis and Visualization in Genomics and Proteomics is the first book addressing integrative data analysis and visualization in this field. It addresses important techniques for the interpretation of data originating from multiple sources, encoded in different formats or protocols, and processed by multiple systems. One of the first systematic overviews of the problem of biological data integration using computational approaches This book provides scientists and students with the basis for the development and application of integrative computational methods to

Nutrigenomics and Proteomics in Health and Disease

Nutrigenomics and Proteomics in Health and Disease
  • Author : Yoshinori Mine,Kazuo Miyashita,Fereidoon Shahidi
  • Publisher : John Wiley & Sons
  • Release : 13 April 2009
GET THIS BOOK Nutrigenomics and Proteomics in Health and Disease

Part of the Functional Food Science and Technology book series (Series Editor: Fereidoon Shahidi), this book compiles the current science based upon nutrigenomics and proteomics in food and health. Coverage includes many important nutraceuticals (food factors) and their impact on gene interaction and health. Authored by a stellar international team of multidisciplinary researchers, this book acquaints food and nutrition professionals with these new fields of nutrition research and conveys the state of the science to date.

Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 21 August 2018
GET THIS BOOK Encyclopedia of Bioinformatics and Computational Biology

Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for

Machine Learning and Systems Biology in Genomics and Health

Machine Learning and Systems Biology in Genomics and Health
  • Author : Shailza Singh
  • Publisher : Springer Nature
  • Release : 25 September 2022
GET THIS BOOK Machine Learning and Systems Biology in Genomics and Health

This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role

Systems Analytics and Integration of Big Omics Data

Systems Analytics and Integration of Big Omics Data
  • Author : Gary Hardiman
  • Publisher : MDPI
  • Release : 15 April 2020
GET THIS BOOK Systems Analytics and Integration of Big Omics Data

A “genotype" is essentially an organism's full hereditary information which is obtained from its parents. A "phenotype" is an organism's actual observed physical and behavioral properties. These may include traits such as morphology, size, height, eye color, metabolism, etc. One of the pressing challenges in computational and systems biology is genotype-to-phenotype prediction. This is challenging given the amount of data generated by modern Omics technologies. This “Big Data” is so large and complex that traditional data processing applications are not

Comprehensive Foodomics

Comprehensive Foodomics
  • Author : Anonim
  • Publisher : Elsevier
  • Release : 12 November 2020
GET THIS BOOK Comprehensive Foodomics

Comprehensive Foodomics offers a definitive collection of over 150 articles that provide researchers with innovative answers to crucial questions relating to food quality, safety and its vital and complex links to our health. Topics covered include transcriptomics, proteomics, metabolomics, genomics, green foodomics, epigenetics and noncoding RNA, food safety, food bioactivity and health, food quality and traceability, data treatment and systems biology. Logically structured into 10 focused sections, each article is authored by world leading scientists who cover the whole breadth of Omics

Multi omic Data Integration

Multi omic Data Integration
  • Author : Paolo Tieri,Christine Nardini,Jennifer Elizabeth Dent
  • Publisher : Frontiers Media SA
  • Release : 17 September 2015
GET THIS BOOK Multi omic Data Integration

Stable, predictive biomarkers and interpretable disease signatures are seen as a significant step towards personalized medicine. In this perspective, integration of multi-omic data coming from genomics, transcriptomics, glycomics, proteomics, metabolomics is a powerful strategy to reconstruct and analyse complex multi-dimensional interactions, enabling deeper mechanistic and medical insight. At the same time, there is a rising concern that much of such different omic data –although often publicly and freely available- lie in databases and repositories underutilised or not used at all.

Intelligent Bioinformatics

Intelligent Bioinformatics
  • Author : Edward Keedwell,Ajit Narayanan
  • Publisher : Wiley
  • Release : 27 May 2005
GET THIS BOOK Intelligent Bioinformatics

Bioinformatics is contributing to some of the most important advances in medicine and biology. At the forefront of this exciting new subject are techniques known as artificial intelligence which are inspired by the way in which nature solves the problems it faces. This book provides a unique insight into the complex problems of bioinformatics and the innovative solutions which make up ‘intelligent bioinformatics’. Intelligent Bioinformatics requires only rudimentary knowledge of biology, bioinformatics or computer science and is aimed at interested