Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Yiben Yang"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-14 (2022)
Abstract Background In the CRISPR-Cas9 system, the efficiency of genetic modifications has been found to vary depending on the single guide RNA (sgRNA) used. A variety of sgRNA properties have been found to be predictive of CRISPR cleavage efficiency
Externí odkaz:
https://doaj.org/article/a89854242d96498cb52bc54fc00721e5
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-18 (2019)
Abstract RNA degradation affects RNA-seq quality when profiling transcriptional activities in cells. Here, we show that transcript degradation is both gene- and sample-specific and is a common and significant factor that may bias the results in RNA-s
Externí odkaz:
https://doaj.org/article/c963d971082e4d1d93b7b1814174a917
Autor:
Jared Fernandez, Swabha Swayamdipta, Yiben Yang, Yejin Choi, Ronan Le Bras, Doug Downey, Ji Ping Wang, Chandra Bhagavatula, Chaitanya Malaviya
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2020.
Recent advances in commonsense reasoning depend on large-scale human-annotated training data to achieve peak performance. However, manual curation of training examples is expensive and has been shown to introduce annotation artifacts that neural mode
Review history. (DOCX 53 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d30515e07bb3a512cb1d163e84d9625
Publikováno v:
NAACL-HLT (1)
Recurrent neural network language models (RNNLM) form a valuable foundation for many NLP systems, but training the models can be computationally expensive, and may take days to train on a large corpus. We explore a technique that uses large corpus n-
Supplementary methods. (DOCX 109 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9677c1760391fd9b04ebeee708b445ef
Supplementary figures and figure legends. (PDF 69270 kb)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::886d856f368e9da60a93d64639c0323a
RNA-seq is a high-throughput assay to profile transcriptional activities in cells. Here we show that transcript degradation is gene-/sample-specific and presents a common and major source that may substantially bias the results in RNA-seq analysis. M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01b2b4784ec598aaf9e79de0042e54c9
Publikováno v:
Genome Biology
Genome Biology, Vol 20, Iss 1, Pp 1-18 (2019)
Genome Biology, Vol 20, Iss 1, Pp 1-18 (2019)
RNA degradation affects RNA-seq quality when profiling transcriptional activities in cells. Here, we show that transcript degradation is both gene- and sample-specific and is a common and significant factor that may bias the results in RNA-seq analys
Autor:
Chengsheng Mao, Fei Wang, Donna K. Arnett, Marguerite R. Irvin, Yiben Yang, Sanjiv J. Shah, Faraz S. Ahmad, Yuan Luo
Publikováno v:
Bioinformatics
Hypertension is a heterogeneous syndrome in need of improved subtyping using phenotypic and genetic measurements so that patients in different subtypes share similar pathophysiologic mechanisms and respond more uniformly to targeted treatments. Exist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b3943f4ee4a8d3f2eb7fa918d11d8e