Big Data Approaches in Human Genome Analysis: Inter-relating groups of elements with statistical models & organizing elements into networks
Talk at Computation Inst. (CI) at U Chicago. Presentation of ENCODE nets & stat models with a big data spin (i.e. containing *infoflow, *costseq, & *callgraph); Total talks was 50' with 20' at the beginning for models.
Subject: encode, networks, encodenets, bigdata, stat-models Date Given: 11/9/2012
Lecture ID: Bigdata_in_Human_Genomics_Stat_Models_and_Networks--20121101-i0chi12
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labidBigdata_in_Human_Genomics_Stat_Models_and_Networks--20121101-i0chi12
titleBig Data Approaches in Human Genome Analysis: Inter-relating groups of elements with statistical models & organizing elements into networks
subjectencode, networks, encodenets, bigdata, stat-models
descriptionTalk at Computation Inst. (CI) at U Chicago. Presentation of ENCODE nets & stat models with a big data spin (i.e. containing *infoflow, *costseq, & *callgraph); Total talks was 50' with 20' at the beginning for models.
date given11/9/2012
abstracthttp://abstracts.gersteinlab.org/2013/03/abstract-for-talk-at-chicago-i0chi12.html

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