A Learning Framework to Improve Unsupervised Gene Network Inference

Abstract

Network inference through link prediction is an important data mining problem that finds many applications in computational social science and biomedicine. For example, by predicting links, i.e., regulatory relationships, between genes to infer gene regulatory networks (GRNs), computational biologists gain a better understanding of the functional elements… (More)
DOI: 10.1007/978-3-319-41920-6_3

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@inproceedings{Turki2016ALF, title={A Learning Framework to Improve Unsupervised Gene Network Inference}, author={Turki Turki and William Bassett and Jason Tsong-Li Wang}, booktitle={MLDM}, year={2016} }