Frank P Lin

Frank P Lin

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Frank P Lin

Frank P Lin

Publications by authors named "Frank P Lin"

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Cancer Care Treatment Outcome Ontology: A Novel Computable Ontology for Profiling Treatment Outcomes in Patients With Solid Tumors.

JCO Clin Cancer Inform 2018 12;2:1-14

Frank P. Lin and Richard J. Epstein, St Vincent's Hospital and The Kinghorn Cancer Centre; Frank P. Lin, Tudor Groza, Simon Kocbek, and Richard J. Epstein, Garvan Institute of Medical Research, Sydney, Australia; Frank P. Lin, Waikato Hospital, Hamilton, New Zealand; and Erick Antezana, Norwegian University of Science and Technology, Trondheim, Norway.

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http://ascopubs.org/doi/10.1200/CCI.18.00026
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http://dx.doi.org/10.1200/CCI.18.00026DOI Listing
December 2018

Cancer and the omics revolution.

Aust Fam Physician 2017 ;46(4):189-193

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September 2017

Computational prediction of multidisciplinary team decision-making for adjuvant breast cancer drug therapies: a machine learning approach.

BMC Cancer 2016 12 1;16(1):929. Epub 2016 Dec 1.

Department of Oncology, St Vincent's Hospital, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst, Sydney, Australia.

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http://dx.doi.org/10.1186/s12885-016-2972-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131452PMC
December 2016

Clinical and imaging findings in three patients with advanced inflammatory demyelinating polyradiculoneuropathy associated with nerve root hypertrophy.

J Clin Neuromuscul Dis 2012 Mar;13(3):105-12

Department of Neurology, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.

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http://dx.doi.org/10.1097/CND.0b013e318224850fDOI Listing
March 2012

BICEPP: an example-based statistical text mining method for predicting the binary characteristics of drugs.

BMC Bioinformatics 2011 Apr 21;12:112. Epub 2011 Apr 21.

Centre for Health Informatics, The University of New South Wales, Sydney, Australia.

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http://dx.doi.org/10.1186/1471-2105-12-112DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3110144PMC
April 2011

In silico prioritisation of candidate genes for prokaryotic gene function discovery: an application of phylogenetic profiles.

BMC Bioinformatics 2009 Mar 17;10:86. Epub 2009 Mar 17.

Centre for Health Informatics, University of New South Wales, Sydney, Australia.

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http://dx.doi.org/10.1186/1471-2105-10-86DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2669486PMC
March 2009