Statistical Analysis of Proteomic Data: Methods and Tools (Methods in Molecular Biology, 2426)
ISBN 10: 1071619667 ISBN 13: 9781071619667
Editorial: Humana, 2022
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Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
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Descripción
Descripción:
N° de ref. del artículo ABLIING23Mar2317530223817
Sinopsis:
This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.
Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.
De la contraportada:
This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results.
Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.
"Sobre este título" puede pertenecer a otra edición de este libro.
Detalles bibliográficos
Título: Statistical Analysis of Proteomic Data: ...
Editorial: Humana
Año de publicación: 2022
Encuadernación: Encuadernación de tapa dura
Condición: New
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