Cargando…
POIBM: batch correction of heterogeneous RNA-seq datasets through latent sample matching
MOTIVATION: RNA sequencing and other high-throughput technologies are essential in understanding complex diseases, such as cancers, but are susceptible to technical factors manifesting as patterns in the measurements. These batch patterns hinder the discovery of biologically relevant patterns. Unbia...
Autores principales: | Holmström, Susanna, Hautaniemi, Sampsa, Häkkinen, Antti |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048693/ https://www.ncbi.nlm.nih.gov/pubmed/35199138 http://dx.doi.org/10.1093/bioinformatics/btac124 |
Ejemplares similares
-
PRISM: recovering cell-type-specific expression profiles from individual composite RNA-seq samples
por: Häkkinen, Antti, et al.
Publicado: (2021) -
qSNE: quadratic rate t-SNE optimizer with automatic parameter tuning for large datasets
por: Häkkinen, Antti, et al.
Publicado: (2020) -
Integrating single-cell RNA-seq datasets with substantial batch effects
por: Hrovatin, Karin, et al.
Publicado: (2023) -
Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench
por: Chazarra-Gil, Ruben, et al.
Publicado: (2021) -
An ontology-based method for assessing batch effect adjustment approaches in heterogeneous datasets
por: Schmidt, Florian, et al.
Publicado: (2018)