An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data-Reference-Cited by-同舟云学术

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An enriched approach to combining high-dimensional genomic and low-dimensional phenotypic data

Published:2024-04-05 Issue: Volume: Page:1-7
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Cabrera Javier¹,Emir Birol²,Cheng Ge¹,Duan Yajie¹,Alemayehu Demissie²,Cherkas Yauheniya³

Affiliation:

1. Department of Statistics, Rutgers University, Piscataway Jersey, USA

2. Statistical Research and Data Science Center, Pfizer Research & Development, Pfizer Inc, New York, USA

3. Statistics and Decision Sciences Janssen R&D, Pennsylvania, USA

Funder

funding associated

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2024.2330203

Reference13 articles.

1. Amaratunga, D., and J. Cabrera. 2003. Exploration and analysis of DNA microarray and protein array data. Chichester: John Wiley and Sons.

2. Enriched random forests

3. Amaratunga, D., J. Cabrera, and Z. Shkedy. 2014. Exploration and analysis of microarray and other high dimensional data. 2nd ed. New York: John Wiley & Sons.

4. Combined clinical and genomic signatures for the prognosis of early stage non-small cell lung cancer based on gene copy number alterations

5. Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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