Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Bukyung Baik"'
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
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Meta-analyses increase statistical power by combining statistics from multiple studies. Meta-analysis methods have mostly been evaluated under the condition that all the data in each study have an association with the given phenotype. Howeve
Externí odkaz:
https://doaj.org/article/855cb6e277fa4760b73d3ae5f6fd7226
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
Abstract Background Gene-set analysis (GSA) has been commonly used to identify significantly altered pathways or functions from omics data. However, GSA often yields a long list of gene-sets, necessitating efficient post-processing for improved inter
Externí odkaz:
https://doaj.org/article/2dbd651430df4e56aaa17669e8f4226f
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0232271 (2020)
Benchmarking RNA-seq differential expression analysis methods using spike-in and simulated RNA-seq data has often yielded inconsistent results. The spike-in data, which were generated from the same bulk RNA sample, only represent technical variabilit
Externí odkaz:
https://doaj.org/article/9c7bb2824caf4272a209149bd3fb087a
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Scientific Reports
Scientific Reports
Meta-analyses increase statistical power by combining statistics from multiple studies. Meta-analysis methods have mostly been evaluated under the condition that all the data in each study have an association with the given phenotype. However, specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b63c9bbe415c3cb3b577de0ef4168e
https://doaj.org/article/855cb6e277fa4760b73d3ae5f6fd7226
https://doaj.org/article/855cb6e277fa4760b73d3ae5f6fd7226
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
Publikováno v:
BMC Genomics, Vol 20, Iss 1, Pp 1-14 (2019)
BMC Genomics
BMC Genomics
Background Gene-set analysis (GSA) has been commonly used to identify significantly altered pathways or functions from omics data. However, GSA often yields a long list of gene-sets, necessitating efficient post-processing for improved interpretation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3720c6de6cd535668c59fb8cb9e22a26
http://link.springer.com/article/10.1186/s12864-019-5738-6
http://link.springer.com/article/10.1186/s12864-019-5738-6
Autor:
Yoonhee Ki, Chunghun Lim, Hoyeon Lee, Bukyung Baik, Moon Seong Hur, Dougu Nam, Ji-Hyung Kim, Jin-Hoe Hur
Publikováno v:
Communications Biology
Communications Biology, Vol 3, Iss 1, Pp 1-13 (2020)
Communications Biology, Vol 3, Iss 1, Pp 1-13 (2020)
Genes and neural circuits coordinately regulate animal sleep. However, it remains elusive how these endogenous factors shape sleep upon environmental changes. Here, we demonstrate that Shaker (Sh)-expressing GABAergic neurons projecting onto dorsal f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fd2d97fd457cd80712c51666d3f6667
http://europepmc.org/articles/PMC7160125
http://europepmc.org/articles/PMC7160125
Publikováno v:
PLoS ONE, Vol 15, Iss 4, p e0232271 (2020)
PLoS ONE
PLoS ONE
Benchmarking RNA-seq differential expression analysis methods using spike-in and simulated RNA-seq data has often yielded inconsistent results. The spike-in data, which were generated from the same bulk RNA sample, only represent technical variabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56f55f22fbff2632f7d59f25312e8d3f
https://doaj.org/article/9c7bb2824caf4272a209149bd3fb087a
https://doaj.org/article/9c7bb2824caf4272a209149bd3fb087a
Autor:
Yoon, Sora, Jinhwan Kim, Seon-Kyu Kim, Bukyung Baik, Sang-Mun Chi, Kim, Seon-Young, Dougu Nam
Supplementary Material. This includes descriptions of GSAseq web server, gene-set collection method, network visualization and runtime of GScluster, and Supplementary Figure S2. (DOCX 1970 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e35b811fbd472437bc02906469412c3