JUMP: replicability analysis of high-throughput experiments with applications to spatial transcriptomic studies

MOTIVATION: Replicability is the cornerstone of scientific research. The current statistical method for high-dimensional replicability analysis either cannot control the false discovery rate (FDR) or is too conservative. RESULTS: We propose a statistical method, JUMP, for the high-dimensional replic...

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Detalles Bibliográficos
Autores principales: Lyu, Pengfei, Li, Yan, Wen, Xiaoquan, Cao, Hongyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279524/
https://www.ncbi.nlm.nih.gov/pubmed/37279733
http://dx.doi.org/10.1093/bioinformatics/btad366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10279524/
https://www.ncbi.nlm.nih.gov/pubmed/37279733
http://dx.doi.org/10.1093/bioinformatics/btad366

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