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A multi-lab experimental assessment reveals that replicability can be improved by using empirical estimates of genotype-by-lab interaction
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Iman Jaljuli ,
Contributed equally to this work with: Iman Jaljuli, Neri Kafkafi
Roles Formal analysis, Methodology, Software, Writing – original draft
* E-mail: jaljuli.iman@gmail.com
Affiliations Department of Statistics and Operations Research, Tel-Aviv University, Tel-Aviv, Israel, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York, United States of America
⨯ - Neri Kafkafi ,
- Eliezer Giladi,
- Ilan Golani,
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Illana Gozes,
Roles Conceptualization, Validation, Writing – review & editing
Affiliations The Elton Laboratory for Molecular Neuroendocrinology, Department of Human Molecular Genetics and Biochemistry, Sackler Faculty of Medicine, Sagol School of Neuroscience and Adams Super Center for Brain Studies, Tel Aviv University, Tel Aviv, Israel, The Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel
⨯ - Elissa J. Chesler,
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Molly A. Bogue,
Roles Data curation, Writing – review & editing
Affiliation The Jackson Laboratory, Bar Harbor, Maine, United States of America
⨯ - Yoav Benjamini
https://orcid.org/0000-0003-0567-957X
A multi-lab experimental assessment reveals that replicability can be improved by using empirical estimates of genotype-by-lab interaction
- Iman Jaljuli,
- Neri Kafkafi,
- Eliezer Giladi,
- Ilan Golani,
- Illana Gozes,
- Elissa J. Chesler,
- Molly A. Bogue,
- Yoav Benjamini
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- Published: May 1, 2023
- https://doi.org/10.1371/journal.pbio.3002082