Statistical challenges in high-dimensional molecular and genetic epidemiology-Reference-Cited by-同舟云学术

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Statistical challenges in high-dimensional molecular and genetic epidemiology

Published:2017-11-15 Issue:1 Volume:46 Page:24-40
ISSN:0319-5724
Container-title:Canadian Journal of Statistics
language:en
Short-container-title:Can. J. Statistics

Author:

Bull Shelley B.¹²^ORCID,Andrulis Irene L.¹³,Paterson Andrew D.²⁴

Affiliation:

1. Lunenfeld-Tanenbaum Research Institute; Sinai Health System; Toronto Ontario, Canada M5T 3L9

2. Dalla Lana School of Public Health; University of Toronto; Toronto, Ontario Canada M5T 3M7

3. Department of Molecular Genetics; University of Toronto; Toronto, Ontario Canada M5S 1A8

4. Genetics and Genome Biology Program; The Hospital for Sick Children; Toronto, Ontario Canada M5G 0A4

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference72 articles.

1. A global reference for human genetic variation Nature 526 75 81

2. Multiple Superoxide Dismutase 1/Splicing Factor Serine Alanine 15 Variants Are Associated With the Development and Progression of Diabetic Nephropathy

3. Multiple Variants in Vascular Endothelial Growth Factor (VEGFA) Are Risk Factors for Time to Severe Retinopathy in Type 1 Diabetes

4. neu/erbB-2 amplification identifies a poor-prognosis group of women with node-negative breast cancer. Toronto Breast Cancer Study Group.

5. Regression models, scan statistics, and reappearance probabilities to detect regions of association between gene expression and copy number;Asimit;Statistics in Medicine,2011

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