Name: Ai/ML-Driven Gene Analysis: Methods and Protocols (en Inglés)
SKU: 66890533
Price: 214.47 USD
Availability: InStock
Author: Taguchi, Y-H

portada Ai/ML-Driven Gene Analysis: Methods and Protocols (en Inglés)

Ai/ML-Driven Gene Analysis: Methods and Protocols (en Inglés)

Formato

Libro Físico

Editorial

Humana

Autor

Taguchi, Y-H

Idioma

Inglés

Encuadernación

Tapa Dura

ISBN13

9781071652831

Ai/ML-Driven Gene Analysis: Methods and Protocols (en Inglés)

Taguchi, Y-H (Autor) · Humana · Tapa Dura

Libro Nuevo Importado

Envío: 16 a 23 días háb.

$ 428.94$ 214.47

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 20 unidades

$ 214.47

Llega entre el 18 Sep y el 01 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Ai/ML-Driven Gene Analysis: Methods and Protocols (en Inglés)"

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.