Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Andrew Nobel"'
Publikováno v:
Harvard Data Science Review (2024)
Externí odkaz:
https://doaj.org/article/ff61dac2ba9243e0bfa2c6b5d1b1167f
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background Expression quantitative trait locus (eQTL) analysis aims to detect the genetic variants that influence the expression of one or more genes. Gene-level eQTL testing forms a natural grouped-hypothesis testing strategy with clear bio
Externí odkaz:
https://doaj.org/article/6856a8b03ad74d07896ca9f5f714f33e
Autor:
Per Eystein Lønning, Anne-Lise Børresen-Dale, David Botstein, Lars A. Akslen, Gun Anker, Andrew Nobel, Turid Aas, Stephanie Geisler, Cheng Fan, Charles M. Perou, Therese Sørlie
Supplementary Table S1 from Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61d407356ce2af0b4601c15d0377d129
https://doi.org/10.1158/1535-7163.22484669
https://doi.org/10.1158/1535-7163.22484669
Autor:
Per Eystein Lønning, Anne-Lise Børresen-Dale, David Botstein, Lars A. Akslen, Gun Anker, Andrew Nobel, Turid Aas, Stephanie Geisler, Cheng Fan, Charles M. Perou, Therese Sørlie
Supplementary Information from Gene expression profiles do not consistently predict the clinical treatment response in locally advanced breast cancer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33b104fa0d449b48d6538f2baeb364d9
https://doi.org/10.1158/1535-7163.22484672.v1
https://doi.org/10.1158/1535-7163.22484672.v1
Autor:
Per Eystein Lønning, Anne-Lise Børresen-Dale, David Botstein, Lars A. Akslen, Gun Anker, Andrew Nobel, Turid Aas, Stephanie Geisler, Cheng Fan, Charles M. Perou, Therese Sørlie
Neoadjuvant treatment offers an opportunity to correlate molecular variables to treatment response and to explore mechanisms of drug resistance in vivo. Here, we present a statistical analysis of large-scale gene expression patterns and their relatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52b8ad3e9dafa11f36f5288da4b80156
https://doi.org/10.1158/1535-7163.c.6531521.v1
https://doi.org/10.1158/1535-7163.c.6531521.v1
Publikováno v:
Proceedings of the 2006 SIAM International Conference on Data Mining.
Conference
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