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Statistics for Microarrays: Design, Analysis and Inference.

Research output: Book/Report/ProceedingsBook

Published

Standard

Statistics for Microarrays: Design, Analysis and Inference. / Wit, Ernst; McClure, J. D.
John Wiley & Sons, 2004. 265 p.

Research output: Book/Report/ProceedingsBook

Harvard

Wit, E & McClure, JD 2004, Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons.

APA

Wit, E., & McClure, J. D. (2004). Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons.

Vancouver

Wit E, McClure JD. Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons, 2004. 265 p.

Author

Wit, Ernst ; McClure, J. D. / Statistics for Microarrays: Design, Analysis and Inference. John Wiley & Sons, 2004. 265 p.

Bibtex

@book{0092b6ab4a1e4481b0fa8381e7d020b5,
title = "Statistics for Microarrays: Design, Analysis and Inference.",
author = "Ernst Wit and McClure, {J. D.}",
note = "The book is supported by an original R library (smida), which contains novel computational implementations of the methods described in the book. Original statistical methodology can be found in Chapter 3, particularly regarding the optimal design for dual-channel microarrays, in Chapter 6 regarding several extensions of partitioning around medoids methods, in Chapter 8 regarding a proof on Bayesian FDR control and subsequent implementations. Furthermore, novel applications of existing statistical methodology as described in the book has had a substantial impact within the field through raising awareness of the importance of statistics within high-dimensional gene transcription studies. RAE_import_type : Authored book RAE_uoa_type : Statistics and Operational Research",
year = "2004",
language = "English",
isbn = "0-470-84993-2",
publisher = "John Wiley & Sons",

}

RIS

TY - BOOK

T1 - Statistics for Microarrays: Design, Analysis and Inference.

AU - Wit, Ernst

AU - McClure, J. D.

N1 - The book is supported by an original R library (smida), which contains novel computational implementations of the methods described in the book. Original statistical methodology can be found in Chapter 3, particularly regarding the optimal design for dual-channel microarrays, in Chapter 6 regarding several extensions of partitioning around medoids methods, in Chapter 8 regarding a proof on Bayesian FDR control and subsequent implementations. Furthermore, novel applications of existing statistical methodology as described in the book has had a substantial impact within the field through raising awareness of the importance of statistics within high-dimensional gene transcription studies. RAE_import_type : Authored book RAE_uoa_type : Statistics and Operational Research

PY - 2004

Y1 - 2004

M3 - Book

SN - 0-470-84993-2

BT - Statistics for Microarrays: Design, Analysis and Inference.

PB - John Wiley & Sons

ER -