Deep learning for genomics using Janggu.

ABSTRACT: In recent years, numerous applications have demonstrated the potential of deep learning for an improved understanding of biological processes. However, most deep learning tools developed so far are designed to address a specific question on a fixed dataset and/or by a fixed model architecture. Here we present Janggu, a python library facilitates deep learning for genomics applications, aiming to ease data acquisition and model evaluation. Among its key features are special dataset objects, which form a unified and flexible data acquisition and pre-processing framework for genomics data that enables streamlining of future research applications through reusable components. Through a numpy-like interface, these dataset objects are directly compatible with popular deep learning libraries, incl

SUBMITTER: Kopp W 

PROVIDER: S-EPMC7359359 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature