Items related to AI/ML-Driven Gene Analysis: Methods and Protocols (Methods...
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.
"synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About this title" may belong to another edition of this title.
Search results for AI/ML-Driven Gene Analysis: Methods and Protocols (Methods...
Stock Image
AI/ML-Driven Gene Analysis (Hardcover)
Published by
Springer-Verlag New York Inc., 2026
ISBN 10: 1071652834
ISBN 13: 9781071652831
New
Hardcover
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781071652831
Seller Image
AI/ML-Driven Gene Analysis
Print on DemandSeller: moluna, Greven, Germany
Seller rating 5 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Seller Inventory # 2901136401
Buy New
£ 136.23
£ 40.90 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Stock Image
AI/ML-Driven Gene Analysis (Hardcover)
Published by
Springer-Verlag New York Inc., 2026
ISBN 10: 1071652834
ISBN 13: 9781071652831
New
Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781071652831
Buy New
£ 140.99
£ 37 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Ai/ML-Driven Gene Analysis
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9781071652831
Seller Image
AI/ML-Driven Gene Analysis : Methods and Protocols
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. Seller Inventory # 9781071652831
Seller Image
AI/ML-Driven Gene Analysis
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 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.Springer Nature Customer Service Center GmbH, Europaplatz 3,69115 Heidelberg, Germany, 69115 Heidelberg 280 pp. Englisch. Seller Inventory # 9781071652831
Stock Image
AI/ML-Driven Gene Analysis: Methods and Protocols
Seller: Books Puddle, Woodside, NY, U.S.A.
Seller rating 4 out of 5 stars
Condition: New. Seller Inventory # 26405608948
Stock Image
AI/ML-Driven Gene Analysis: Methods and Protocols
Print on DemandSeller: Majestic Books, Hounslow, United Kingdom
Seller rating 4 out of 5 stars
Condition: New. Print on Demand. Seller Inventory # 408593963
Buy New
£ 243.76
£ 6.50 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 4 available
Stock Image
AI/ML-Driven Gene Analysis: Methods and Protocols
Print on DemandSeller: Biblios, Frankfurt am main, HESSE, Germany
Seller rating 4 out of 5 stars
Condition: New. PRINT ON DEMAND. Seller Inventory # 18405608958
Stock Image
AI/ML-Driven Gene Analysis (Hardcover)
Published by
Springer-Verlag New York Inc., 2026
ISBN 10: 1071652834
ISBN 13: 9781071652831
New
Hardcover
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781071652831
Buy New
£ 237.85
£ 27.53 shipping
Ships from Australia to U.S.A.
Ships from Australia to U.S.A.
Quantity: 1 available