FIDDLE: An integrative deep learning framework for functional genomic data inference
U Eser, LS Churchman - Biorxiv, 2016 - biorxiv.org
Numerous advances in sequencing technologies have revolutionized genomics through
generating many types of genomic functional data. Statistical tools have been developed to
analyze individual data types, but there lack strategies to integrate disparate datasets under
a unified framework. Moreover, most analysis techniques heavily rely on feature selection
and data preprocessing which increase the difficulty of addressing biological questions
through the integration of multiple datasets. Here, we introduce FIDDLE (Flexible Integration …
generating many types of genomic functional data. Statistical tools have been developed to
analyze individual data types, but there lack strategies to integrate disparate datasets under
a unified framework. Moreover, most analysis techniques heavily rely on feature selection
and data preprocessing which increase the difficulty of addressing biological questions
through the integration of multiple datasets. Here, we introduce FIDDLE (Flexible Integration …
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