Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dalla quarta di copertina
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
Editore:
Springer, 2019
ISBN 10: 149399056X
ISBN 13: 9781493990566
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Hardcover. Condizione: Very Good. 1. Auflage. unread, some shelfwear. Codice articolo CE-2209C-HANOI-08-1000
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
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hardcover. Condizione: 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! Codice articolo S_408540523
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
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Computational Methods for Single-Cell Data Analysis (Methods in Molecular Biology, 1935)
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Computational Methods for Single-Cell Data Analysis
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Condizione: 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. Codice articolo 256089339
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Computational Methods for Single-Cell Data Analysis
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Buch. Condizione: 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. Codice articolo 9781493990566
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Computational Methods for Single-Cell Data Analysis
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Buch. Condizione: Neu. Computational Methods for Single-Cell Data Analysis | Guo-Cheng Yuan | Buch | x | Englisch | 2019 | Springer US | EAN 9781493990566 | Verantwortliche Person für die EU: Humana Press in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Codice articolo 114812237
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Computational Methods for Single-Cell Data Analysis
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Computational Methods for Single-Cell Data Analysis
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Springer New York, Springer US Feb 2019, 2019
ISBN 10: 149399056X
ISBN 13: 9781493990566
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Buch. Condizione: 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. Codice articolo 9781493990566
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Computational Methods For Single-cell D
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Condizione: New. Codice articolo V9781493990566
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