Articles liés à AI/ML-Driven Gene Analysis: Methods and Protocols
Synopsis
This volume describes the latest developments in using Artificial Intelligence (AI) and machine learning in the field of genomics. The chapters in this book cover a variety of topics such as ways to derive the biomarker and measure biological and pathological processes from transcriptomic data sets; techniques to infer the function of epigenetics using network-based methodology; a look at how CellOracle can figure out which gene-gene interaction is important; how to find a machine learning approach to figure out how microRNA affects the cardiovascular events; protocols on ways to find how AI/ML approaches can attack somatic variant detection in normal human tissue; and a description on how gene embeddings are powerful tools for predicting unknown functions of genes and drugs. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Thorough and comprehensive, AI/ML-Driven Gene Analysis: Methods and Protocols is a valuable tool for researchers interested in learning more about how cutting-edge methodology for AI/ML is applied to genomics.
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Ai/ML-Driven Gene Analysis
Edité par
Springer Us Sep 2026, 2026
ISBN 10 : 1071652834
ISBN 13 : 9781071652831
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This volume describes the latest developments in using Artificial Intelligence (AI) and machine learning in the field of genomics. The chapters in this book cover a variety of topics such as ways toderive the biomarker and measure biological and pathological processes from transcriptomic data sets; techniques to infer the function of epigenetics using network-based methodology; a look at how CellOracle can figure out which gene-gene interaction is important; how to find a machine learning approach to figure out how microRNA affects the cardiovascular events; protocols on ways to find how AI/ML approaches can attack somatic variant detection in normal human tissue; and a description on how gene embeddings are powerful tools for predicting unknown functions of genes and drugs. Written in the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Thorough and comprehensive,AI/ML-Driven Gene Analysis: Methods and Protocolsis a valuable tool for researchers interested in learning more about how cutting-edge methodology for AI/ML is applied to genomics. 268 pp. Englisch. N° de réf. du vendeur 9781071652831
Acheter neuf
EUR 192,59
Expédition à EUR 23
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
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Ai/ML-Driven Gene Analysis : Methods and Protocols
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume describes the latest developments in using Artificial Intelligence (AI) and machine learning in the field of genomics. The chapters in this book cover a variety of topics such as ways toderive the biomarker and measure biological and pathological processes from transcriptomic data sets; techniques to infer the function of epigenetics using network-based methodology; a look at how CellOracle can figure out which gene-gene interaction is important; how to find a machine learning approach to figure out how microRNA affects the cardiovascular events; protocols on ways to find how AI/ML approaches can attack somatic variant detection in normal human tissue; and a description on how gene embeddings are powerful tools for predicting unknown functions of genes and drugs. Written in the highly successfulMethods in Molecular Biologyseries format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.Thorough and comprehensive,AI/ML-Driven Gene Analysis: Methods and Protocolsis a valuable tool for researchers interested in learning more about how cutting-edge methodology for AI/ML is applied to genomics. N° de réf. du vendeur 9781071652831
Acheter neuf
EUR 268,49
Expédition à EUR 30,50
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)