• Prediction of Whole-Cell Transcriptional Response with Machine Learning

    25 days ago - By Oxford Journals

    AbstractMotivationApplications in synthetic and systems biology can benefit from measuring whole-cell response to biochemical perturbations. Execution of experiments to cover all possible combinations of perturbations is infeasible. In this paper, we present the host response model , a machine learning approach that maps response of single perturbations to transcriptional response of the combination of perturbations.ResultsThe HRM combines high-throughput sequencing with machine learning to infer links between experimental context, prior knowledge of cell regulatory networks, and RNASeq...
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  • Biologically relevant transfer learning improves transcription factor binding prediction

    25 days ago - By Genome Biology

    Deep learning has proven to be a powerful technique for transcription factor binding prediction but requires large training datasets. Transfer learning can reduce the amount of data required for deep lear...
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