Structure-based prediction of protein–protein interactions on a genome-wide scale

Qiangfeng Cliff Zhang, Donald Petrey, Lei Deng, +10

Nature

InteractomicsComputational BiologyMolecular BiologyProtein ModelingStructure-based Prediction +4

Galvanic skin response (GSR) as an index of cognitive load

Yu Shi, Natalie Ruiz, Ronnie Taib, +2

NeuropsychologyEngineeringAffective NeuroscienceWearable TechnologyMultimodal Data Annotation +23

The Dendrobium catenatum Lindl. genome sequence provides insights into polysaccharide synthase, floral development and adaptive evolution

Guoqiang Zhang, Qing Xu, Chao Bian, +33

Scientific Reports

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks

Yu Shi, Qi Zhu, Fang Guo, +2

Structured PredictionEngineeringMachine LearningNetwork AnalysisLink Prediction +18

Tobacco nicotine uptake permease (NUP1) affects alkaloid metabolism

Sherry B. Hildreth, Elizabeth A. Gehman, Haibing Yang, +9

Proceedings of the National Academy of Sciences

BotanyGeneticsNicotine MetabolismTobacco ControlBiosynthesis +15

A<scp>sp</scp>E<scp>m</scp>: Embedding Learning by Aspects in Heterogeneous Information Networks

Yu Shi, Huan Gui, Qi Zhu, +2

Society for Industrial and Applied Mathematics eBooks

Structured PredictionEngineeringMachine LearningEmbedding LearningMultilingual Pretraining +15

Genome-Wide Analysis of the NAC Domain Transcription Factor Gene Family in Theobroma cacao

Shiya Shen, Qianru Zhang, Yu Shi, +7

Genes

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding

Yu Shi, Fangqiu Han, Xinwei He, +4

arXiv (Cornell University)

Geometric LearningGraph Representation LearningMachine LearningEngineeringNetwork Analysis +15

Evidence for programmed cell death and activation of specific caspase-like enzymes in the tomato fruit heat stress response

Guiqin Qu, Xiang Liu, Yali Zhang, +6

Planta

Plant StressBiochemistryNatural SciencesMolecular BiologyProgrammed Cell Death +7

Biomarker Identification and Cancer Classification Based on Microarray Data Using Laplace Naive Bayes Model with Mean Shrinkage

Mengyun Wu, Dao‐Qing Dai, Yu Shi, +2

IEEE/ACM Transactions on Computational Biology and Bioinformatics

EngineeringMachine LearningFeature SelectionBiomarker IdentificationCancer Classification +20