Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Dominique T. Alessi"'
Autor:
Aurelie Tomczak, Jonathan M. Mortensen, Rainer Winnenburg, Charles Liu, Dominique T. Alessi, Varsha Swamy, Francesco Vallania, Shane Lofgren, Winston Haynes, Nigam H. Shah, Mark A. Musen, Purvesh Khatri
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Abstract Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis —
Externí odkaz:
https://doaj.org/article/22ec44186f434485be70d5c0e2be2183
Autor:
Shane Lofgren, Varsha Swamy, Dominique T. Alessi, Rainer Winnenburg, Charles Liu, Purvesh Khatri, Jonathan M. Mortensen, Winston A. Haynes, Aurelie Tomczak, Nigam H. Shah, Mark A. Musen, Francesco Vallania
Publikováno v:
Scientific Reports
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the onto
Interpretation of biological experiments changes with evolution of Gene Ontology and its annotations
Autor:
Varsha Swamy, Shane Lofgren, Jonathan M. Mortensen, Rainer Winnenburg, Nigam H. Shah, Charles Liu, Mark A. Musen, Francesco Vallania, Winston A. Haynes, Purvesh Khatri, Aurelie Tomczak, Dominique T. Alessi
Gene Ontology (GO) enrichment analysis is ubiquitously used for interpreting high throughput molecular data and generating hypotheses about underlying biological phenomena of experiments. However, the two building blocks of this analysis — the onto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba5ce87f1279c06429b1128ee31c861c