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Computational Methods for Single-Cell Data Analysis: 1935 (Methods in Molecular Biology) - Tapa dura
Sinopsis
This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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.
Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
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This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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.
Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
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Springer, 2019
ISBN 10: 149399056X
ISBN 13: 9781493990566
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Librería: SpringBooks, Berlin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: Very Good. 1. Auflage. unread, some shelfwear. Nº de ref. del artículo: CE-2209C-HANOI-08-1000
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
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hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! Nº de ref. del artículo: S_408540523
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Computational Methods for Single-Cell Data Analysis
Impresión bajo demandaLibrería: moluna, Greven, Alemania
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes cutting-edge techniquesProvides step-by-step detail essential for reproducible resultsContains key implementation advice from the experts1. Quality Control of Single-cell RNA-seq Peng Jiang. Nº de ref. del artículo: 256089339
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Condición: New. In. Nº de ref. del artículo: ria9781493990566_new
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Computational Methods for Single-Cell Data Analysis
Publicado por
Springer New York Feb 2019, 2019
ISBN 10: 149399056X
ISBN 13: 9781493990566
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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.Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis. 284 pp. Englisch. Nº de ref. del artículo: 9781493990566
Cantidad disponible: 2 disponibles
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Computational Methods for Single-Cell Data Analysis
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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.Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis. Nº de ref. del artículo: 9781493990566
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9781493990566
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Computational Methods for Single-Cell Data Analysis
Publicado por
Springer New York, Springer US Feb 2019, 2019
ISBN 10: 149399056X
ISBN 13: 9781493990566
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. 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.Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 284 pp. Englisch. Nº de ref. del artículo: 9781493990566
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Computational Methods for Single-Cell Data Analysis
Librería: Books Puddle, New York, NY, Estados Unidos de America
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Condición: New. Nº de ref. del artículo: 26376778669
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar2716030188387
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