Cross-study Comparability
Cross-Study Comparability is a methodological attribute that enables consistent interpretation and integration of Operational Taxonomic Units across distinct research studies by standardizing taxonomic resolution, sequencing protocols, or bioinformatic processing to mitigate technical and analytical heterogeneity.
257
Publications
21.1K
Citations
1.7K
Authors
681
Institutions
Publications per year
2017–2026
93
Parents
257
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Yun Li, Cristen J. Willer, Jun Ding et al. · Genetic Epidemiology · 2010 · 1.9K citations · Full text
The PhenX Toolkit: Get the Most From Your Measures
Carol M. Hamilton, Lisa C. Strader, J. G. Pratt et al. · American Journal of Epidemiology · 2011 · 905 citations · Full text
1–5 of 257
1.7K
5
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 1.7K
681
Harvard University
Cambridge, United States
9 h-index
18 publications
2.2K citations
University of Michigan
Ann Arbor, United States
8 h-index
22 publications
7.5K citations
Duke University
Durham, United States
6 h-index
17 publications
393 citations
National Institutes of Health
Bethesda, United States
6 h-index
25 publications
2.6K citations
University of Zurich
Zurich, Switzerland
5 h-index
12 publications
683 citations
RTI International
Durham, United States
5 h-index
39 publications
22.1K citations
National Cancer Institute
Bethesda, United States
5 h-index
9 publications
1.2K citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
8 publications
643 citations
1–8 of 681
Repository · 14 publications · 223 citations
12
h-index
Repository · 5 publications · 142 citations
5
h-index
5 publications · 247 citations
5
h-index
3 publications · 103 citations
3
h-index
BJCP · 3 publications · 80 citations
3
h-index
1–5