ShopSpell

Epistasis: Methods and Protocols [Hardcover]

$135.99     $199.99    32% Off      (Free Shipping)
100 available
  • Category: Books (Medical)
  • ISBN-10:  1071609467
  • ISBN-10:  1071609467
  • ISBN-13:  9781071609460
  • ISBN-13:  9781071609460
  • Publisher:  Humana
  • Publisher:  Humana
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2021
  • Pub Date:  01-Apr-2021
  • SKU:  1071609467-11-SPRI
  • SKU:  1071609467-11-SPRI
  • Pages:  402
  • Pages:  402
  • Item ID: 104435250
  • List Price: $199.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Oct 01 to Oct 03
  • Notes: Brand New Book. Order Now.

This volume explores methods and protocols for detecting epistasis from genetic data. Chapters provide methods and protocols demonstrating approaches to identify epistasis, genetic epistasis testing, genome-wide epistatic SNP networks, epistasis detection through machine learning, and complex interaction analysis using trigenic synthetic genetic array (?-SGA). Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, application details for both the expert and non-expert reader, and tips on troubleshooting and avoiding known pitfalls.

 

Authoritative and cutting-edge, Epistasis: Methods and Protocols aims to ensure successful results in the further study of this vital field.

 

Simulating Evolution in Asexual Populations with Epistasis is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Mass-based Protein Phylogenetic Approach to Identify Epistasis.- SNPInt-GPU: Tool for epistasis testing with multiple methods and GPU acceleration.- Epistasis-based Feature Selection Algorithm.- W-test for Genetic Epistasis Testing.- The Combined Analysis of Pleiotropy and Epistasis (CAPE).- Two-Stage Testing for Epistasis: Screening and Veri_cation.- Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Association Studies.- Phenotype Prediction under Epistasis.- Simulating Evolution in Asexual Populations with Epistasis.- Protocol for Construction of Genome-Wide Epistatic SNP Networks using WISH-R Package.- Brief survey on Machine Learning in Epistasis.- First-Order Correction of Statistical SilS%

Add Review