Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Hai C. T. Nguyen"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-16 (2023)
Integration of single-cell RNA sequencing data between different samples has been a major challenge for analyzing cell populations. Here the authors benchmark 46 workflows for differential expression analysis of single-cell data with multiple batches
Externí odkaz:
https://doaj.org/article/33e159f8ff6a4922aa21acf23a5db541
Integration of single-cell RNA sequencing data between different samples has been a major challenge for analyzing cell populations. However, strategies to integrate differential expression analysis of single-cell data remain underinvestigated. Here,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d29248bee5d81476ffc22ac8f74695ed
https://doi.org/10.21203/rs.3.rs-1723455/v1
https://doi.org/10.21203/rs.3.rs-1723455/v1
Autor:
Sangsoo Kim, Jin Kim, Sounkou Kim, So-Ra Yoon, Hai C T Nguyen, Yun J Yoo, Jinhwan Kim, Dougu Nam, Bukyung Baik
Publikováno v:
Nucleic Acids Research
Pathway-based analysis in genome-wide association study (GWAS) is being widely used to uncover novel multi-genic functional associations. Many of these pathway-based methods have been used to test the enrichment of the associated genes in the pathway
Autor:
So-Ra Yoon, Woobeen Jo, Hai C T Nguyen, Sang-Mun Chi, Jiyoung Park, Dougu Nam, Jinhwan Kim, Seon-Young Kim
Publikováno v:
Nucleic Acids Research
We present a novel approach to identify human microRNA (miRNA) regulatory modules (mRNA targets and relevant cell conditions) by biclustering a large collection of mRNA fold-change data for sequence-specific targets. Bicluster targets were assessed u