A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...
Positioned at the intersection of quantitative finance, statistical learning, and modern AI, the research addresses a ...
Child Development, Vol. 87, No. 1, SPECIAL SECTION: Epigenetics, Child Behavior and Development: Unraveling the Gene-Environment Interaction (JANUARY/FEBRUARY 2016), pp. 184-193 (10 pages) Variability ...
Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...
The ability of developing complex internal representations of the environment is considered a crucial antecedent to the emergence of humans’ higher cognitive functions. Yet it is an open question ...
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