Kimma: flexible linear mixed effects modeling with kinship covariance for RNA-seq data

MOTIVATION: The identification of differentially expressed genes (DEGs) from transcriptomic datasets is a major avenue of research across diverse disciplines. However, current bioinformatic tools do not support covariance matrices in DEG modeling. Here, we introduce kimma (Kinship In Mixed Model Ana...

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Detalles Bibliográficos
Autores principales: Dill-McFarland, Kimberly A, Mitchell, Kiana, Batchu, Sashank, Segnitz, Richard Max, Benson, Basilin, Janczyk, Tomasz, Cox, Madison S, Mayanja-Kizza, Harriet, Boom, William Henry, Benchek, Penelope, Stein, Catherine M, Hawn, Thomas R, Altman, Matthew C
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/PMC10182851/
https://www.ncbi.nlm.nih.gov/pubmed/37140544
http://dx.doi.org/10.1093/bioinformatics/btad279

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10182851/
https://www.ncbi.nlm.nih.gov/pubmed/37140544
http://dx.doi.org/10.1093/bioinformatics/btad279

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