Multidrug resistance in epilepsy and polymorphisms in the voltage-gated sodium channel genes SCN1A, SCN2A, and SCN3A: correlation among phenotype, genotype, and mRNA expression von Kwan, Patrick, Poon, Wai Sang, Ng, Ho-Keung, Kang, David E, Wong, Virginia, Ng, Ping Wing, Lui, Colin H.T, Sin, Ngai Chuen, Wong, Ka S, Baum, Larry

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Is Fatigue Associated With Short-Term Health-Related Quality of Life in Stroke? von Tang, Wai K., MD, Lu, Jin Y., MPhil, Chen, Yang K., MPhil, Mok, Vincent C., MD, Ungvari, Gabor S., MD, Wong, Ka S., MD

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The Infarct Location Predicts the Outcome of Single Small Subcortical Infarction in the Territory of the Middle Cerebral Artery von Yang, Xiaomeng, MD, Pu, Yuehua, MD, Liu, Liping, MD, Wang, Yilong, MD, Zou, Xinying, MD, PhD, Pan, Yuesong, MD, Wang, Defeng, PhD, Zhao, Xingquan, MD, Wong, Ka S., MD, Wang, Yongjun, MD

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A young man who kept falling over von Wong, Edward Ho Chung, Dr, Hui, Andrew C, FRCP, Mok, Vincent C, MD, Leung, Howan, MB, Chan, Rickjason C., MB, Wong, Ka S, Prof, Kwan, Patrick K, FRCP

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Management of cholesterol to reduce the burden of stroke in Asia: consensus statement von Hankey, Graeme J., Wong, Ka S. L., Chankrachang, Siwaporn, Chen, Christopher, Crimmins, Denis, Frayne, Judith, Kim, Jong S., Li, Yansheng, Liou, Chia-Wei, Merican, Julia S., Misbach, Jusuf, Navarro, Jose, Shinohara, Yukito, Wang, Yongjun, Yoon, Byung-Woo

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Prognosticating acute symptomatic seizures using two different seizure outcomes von Leung, Howan, Man, Celeste B. L., Hui, Andrew C. F., Kwan, Patrick, Wong, Ka S.

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Gene–Environment Interaction: A Variable Selection Perspective von Zhou, Fei, Ren, Jie, Lu, Xi, Ma, Shuangge, Wu, Cen

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Headache in patients with epilepsy: A prospective incidence study von Kwan, Patrick, Man, Celeste B. L., Leung, Howan, Yu, Evelyn, Wong, Ka S.

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Epistasis: Methods and Protocols

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Natural Computing for Unsupervised Learning von Li, Xiangtao, Wong, Ka-Chun

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Mass-Based Protein Phylogenetic Approach to Identify Epistasis von Downard, Kevin M.

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Brief Survey on Machine Learning in Epistasis von Chicco, Davide, Faultless, Trent

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Trigenic Synthetic Genetic Array (τ-SGA) Technique for Complex Interaction Analysis von Kuzmin, Elena, Andrews, Brenda J., Boone, Charles

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Phenotype Prediction Under Epistasis von Vojgani, Elaheh, Pook, Torsten, Simianer, Henner

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Epistasis Analysis: Classification Through Machine Learning Methods von Liu, Linjing, Wong, Ka-Chun

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Epistasis-Based Feature Selection Algorithm von Paula, Lauro Cássio Martins de

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A Belief Degree–Associated Fuzzy Multifactor Dimensionality Reduction Framework for Epistasis Detection von Rahaman, Saifur, Wong, Ka-Chun

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Using Collaborative Mixed Models to Account for Imputation Uncertainty in Transcriptome-Wide Association Studies von Shi, Xingjie, Yang, Can, Liu, Jin

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Two-Stage Testing for Epistasis: Screening and Verification von Pecanka, Jakub, Jonker, Marianne A.

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Protocol for Epistasis Detection with Machine Learning Using GenEpi Package von Petinrin, Olutomilayo Olayemi, Wong, Ka-Chun

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