Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes

Pathima Nusrath Hameed; Karin Verspoor; Snezana Kusljic; Saman Halgamuge

Journal article

Positive-Unlabeled Learning for inferring drug interactions based on heterogeneous attributes

Pathima Nusrath Hameed, Karin Verspoor, Snezana Kusljic, Saman Halgamuge

BMC Bioinformatics | BMC | Published : 2017

DOI: 10.1186/s12859-017-1546-7

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University of Melbourne Researchers

Saman Halgamuge Author Mechanical Engineering

Karin Verspoor Author Computing and Information Systems

Snezana Kusljic Author Nursing

Related Projects (1)

Near-Unsupervised Computational Methods For Exploring 'Omic' Data

The project aims to investigate the recently proposed promising machine learning paradigm "Near Unsupervised Learning" by critically analysi..

Grants

Awarded by Australian Research Council

Funding Acknowledgements

PNH is fully supported by the PhD scholarships of The University of Melbourne and partially supported by NICTA scholarship of National ICT Australia, now Data61 since merging CSIRO's Digital Productivity team. This work is also partially funded by Australian Research Council grant DP150103512.