Leveraging gene correlations in single cell transcriptomic data

BACKGROUND: Many approaches have been developed to overcome technical noise in single cell RNA-sequencing (scRNAseq). As researchers dig deeper into data—looking for rare cell types, subtleties of cell states, and details of gene regulatory networks—there is a growing need for algorithms with contro...

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Detalles Bibliográficos
Autores principales: Silkwood, Kai, Dollinger, Emmanuel, Gervin, Josh, Atwood, Scott, Nie, Qing, Lander, Arthur D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055147/
https://www.ncbi.nlm.nih.gov/pubmed/36993765
http://dx.doi.org/10.1101/2023.03.14.532643

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10055147/
https://www.ncbi.nlm.nih.gov/pubmed/36993765
http://dx.doi.org/10.1101/2023.03.14.532643

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