How to maximize power for differential expression analysis in discovery omics through experimental design-Reference-Cited by-同舟云学术

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How to maximize power for differential expression analysis in discovery omics through experimental design

Published:2023-11-24 Issue:12 Volume:20 Page:299-301
ISSN:1478-9450
Container-title:Expert Review of Proteomics
language:en
Short-container-title:Expert Review of Proteomics

Author:

Dufault Brenden¹,LeDuc Richard D.²³,Zahedi René P.³⁴⁵⁶

Affiliation:

1. George & Fay Yee Centre for Healthcare Innovation, University of Manitoba, Winnipeg, MB, Canada

2. Children’s Hospital Research Institute of Manitoba, Winnipeg, MB, Canada

3. Department of Biochemistry and Medical Genetics, University of Manitoba, Winnipeg, MB, Canada

4. Department of Internal Medicine, University of Manitoba, Winnipeg, MB, Canada

5. Manitoba Centre for Proteomics and Systems Biology, Winnipeg, MB, Canada

6. Paul Albrechtsen Research Institute, Cancer Care Manitoba, Winnipeg, MB, Canada

Funder

University of Manitoba

Publisher

Informa UK Limited

Subject

Molecular Biology,Biochemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/14789450.2023.2287054

Reference10 articles.

1. Modeling Experimental Design for Proteomics

2. Fisher RA. The design of experiments. Edinburgh: Oliver and Boyd; 1935.

3. Statistical Design of Quantitative Mass Spectrometry-Based Proteomic Experiments

4. Important Issues in Planning a Proteomics Experiment: Statistical Considerations of Quantitative Proteomic Data

5. Fundamentals of experimental design for cDNA microarrays

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