Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning

Rumming M, Krusche P, Tedder PM (2015)
Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg.

Kurzbeitrag Konferenz / Poster | Veröffentlicht | Englisch
 
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Autor*in
Rumming, MadisUniBi; Krusche, Peter; Tedder, Philip M.
herausgebende Körperschaft
EMBL Heidelberg
Erscheinungsjahr
2015
Konferenz
Cancer Genomics - EMBL Conference
Konferenzort
EMBL Heidelberg
Konferenzdatum
2015-11-01 – 2015-11-04
Page URI
https://pub.uni-bielefeld.de/record/2901462

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Rumming M, Krusche P, Tedder PM. Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning. Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg.
Rumming, M., Krusche, P., & Tedder, P. M. (2015). Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning. Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg
Rumming, M., Krusche, P., and Tedder, P. M. (2015).“Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning”. Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg.
Rumming, M., Krusche, P., & Tedder, P.M., 2015. Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning. Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg.
M. Rumming, P. Krusche, and P.M. Tedder, “Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning”, Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg, 2015.
Rumming, M., Krusche, P., Tedder, P.M.: Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning. Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg (2015).
Rumming, Madis, Krusche, Peter, and Tedder, Philip M. “Developing gold standard variant calls for whole-genome somatic variant calling using supervised learning”. Presented at the Cancer Genomics - EMBL Conference, EMBL Heidelberg, 2015.

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