Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Michael Frasketi"'
Autor:
Travis L. Jensen, Michael Frasketi, Kevin Conway, Leigh Villarroel, Heather Hill, Konstantinos Krampis, Johannes B. Goll
Publikováno v:
F1000Research, Vol 6 (2018)
RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale. Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes. Ultimately, such controlled studies promise to re
Externí odkaz:
https://doaj.org/article/3cfd2b9fba38499c9870150b11f784af
Autor:
Michael Frasketi, Paul VanVeldhuisen, Lian Hu, Dikla Shmueli-Blumberg, Li-Tzy Wu, Colleen Allen
Publikováno v:
Clinical Trials. 10:977-986
Background There are many benefits of data sharing, including the promotion of new research from effective use of existing data, replication of findings through re-analysis of pooled data files, meta-analysis using individual patient data, and reinfo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2d5ddafd11a4ab0650bf8aa56bccde0
https://doi.org/10.1177/1740774513503522
https://doi.org/10.1177/1740774513503522
Autor:
Konstantinos Krampis, Heather Hill, Travis L. Jensen, Kevin Conway, Michael Frasketi, Johannes B. Goll, Leigh Villarroel
Publikováno v:
F1000Research
RNA-Seq is increasingly being used to measure human RNA expression on a genome-wide scale. Expression profiles can be interrogated to identify and functionally characterize treatment-responsive genes. Ultimately, such controlled studies promise to re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92650376eb428a05e102f8cc5349246f
https://doi.org/10.12688/f1000research.13049.2
https://doi.org/10.12688/f1000research.13049.2