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Bioinformatics (Oxford, England)|March 11, 2015
BMRF-Net: a software tool for identification of protein interaction subnetworks by a bagging Markov random field-based methodXu Shi, Robert O Barnes, Li Chen, et al.
Bioinformatics (Oxford, England)|December 28, 2010
PUGSVM: a caBIG™ analytical tool for multiclass gene selection and predictive classificationGuoqiang Yu, Huai Li, Sook Ha, et al.
Cancer Epidemiology, Biomarkers & Prevention : a Publication of the American Association for Cancer Research, Cosponsored by the American Society of Preventive Oncology|February 5, 2009
Risk factors for pancreatic cancer mortality: extended follow-up of the original Whitehall StudyG David Batty, Mika Kivimaki, David Morrison, et al.
Bioinformatics (Oxford, England)|September 13, 2014
UNDO: a Bioconductor R package for unsupervised deconvolution of mixed gene expressions in tumor samplesNiya Wang, Ting Gong, Robert Clarke, et al.
Scientific Reports|January 12, 2021
Data-driven detection of subtype-specific differentially expressed genesLulu Chen, Yingzhou Lu, Chiung-Ting Wu, et al.
The British Journal of Nutrition|April 25, 2020
Plasma concentrations of vitamin B12 and folate and global cognitive function in an older population: cross-sectional findings from The Irish Longitudinal Study on Ageing (TILDA)Deirdre M A O'Connor, Eamon J Laird, Daniel Carey, et al.
Medrxiv : the Preprint Server for Health Sciences|July 18, 2023
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortalityHang Yuan, Tatiana Plekhanova, Rosemary Walmsley, et al.
JAMA Cardiology|July 21, 2016
Association of Random Plasma Glucose Levels With the Risk for Cardiovascular Disease Among Chinese Adults Without Known DiabetesFiona Bragg, Liming Li, Derrick Bennett, et al.
NPJ Digital Medicine|May 20, 2024
Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortalityHang Yuan, Tatiana Plekhanova, Rosemary Walmsley, et al.
International Journal of Stroke : Official Journal of the International Stroke Society|October 30, 2013
Reducing recurrent stroke: methodology of the motivational interviewing in stroke (MIST) randomized clinical trialRita Krishnamurthi, Emma Witt, Suzanne Barker-Collo, et al.
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