Machine Learning Techniques on Gene Function Prediction

Machine Learning Techniques on Gene Function Prediction
Author :
Publisher : Frontiers Media SA
Total Pages : 485
Release :
ISBN-10 : 9782889632145
ISBN-13 : 2889632148
Rating : 4/5 (148 Downloads)

Book Synopsis Machine Learning Techniques on Gene Function Prediction by : Quan Zou

Download or read book Machine Learning Techniques on Gene Function Prediction written by Quan Zou and published by Frontiers Media SA. This book was released on 2019-12-04 with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Machine Learning Techniques on Gene Function Prediction Related Books

Machine Learning Techniques on Gene Function Prediction
Language: en
Pages: 485
Authors: Quan Zou
Categories:
Type: BOOK - Published: 2019-12-04 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

Machine Learning Techniques on Gene Function Prediction Volume II
Language: en
Pages: 264
Authors: Quan Zou
Categories: Science
Type: BOOK - Published: 2023-04-11 - Publisher: Frontiers Media SA

DOWNLOAD EBOOK

The Gene Ontology Handbook
Language: en
Pages: 298
Authors: Christophe Dessimoz
Categories: Science
Type: BOOK - Published: 2020-10-08 - Publisher:

DOWNLOAD EBOOK

This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their pr
Data Mining in Bioinformatics
Language: en
Pages: 356
Authors: Jason T. L. Wang
Categories: Computers
Type: BOOK - Published: 2005 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Written especially for computer scientists, all necessary biology is explained. Presents new techniques on gene expression data mining, gene mapping for disease
Biological Sequence Analysis
Language: en
Pages: 372
Authors: Richard Durbin
Categories: Science
Type: BOOK - Published: 1998-04-23 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Probabilistic models are becoming increasingly important in analysing the huge amount of data being produced by large-scale DNA-sequencing efforts such as the H