A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration

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

Journal article

A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration

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

BMC Bioinformatics | BMC | Published : 2018

DOI: 10.1186/s12859-018-2123-4

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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 Reseach 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. Article processing charge is funded by Australian Reseach Council Discovery Grant DP150103512.