no code implementations • 30 Nov 2022 • Xuekui Zhang, Yuying Huang, Ke Xu, Li Xing
Full electronic automation in stock exchanges has recently become popular, generating high-frequency intraday data and motivating the development of near real-time price forecasting methods.
no code implementations • 1 Oct 2021 • Xiaowen Cao, Li Xing, Elham Majd, Hua He, Junhua Gu, Xuekui Zhang
Methods and Results: This study evaluates 13 popular supervised machine learning algorithms to classify cell phenotypes, using published real and simulated data sets with diverse cell sizes.
no code implementations • 13 Aug 2021 • Yang Guo, Xuekui Zhang, Fatemeh Esfahani, Venkatesh Srinivasan, Alex Thomo, Li Xing
To make the previous PA focus more on dense subgraphs, we propose a multi-stage graph peeling algorithm (M-PA) that has a two-stage data screening procedure added before the previous PA. After removing vertices from the graph based on the user-defined thresholds, we can reduce the graph complexity largely and without affecting the vertices in subgraphs that we are interested in.
no code implementations • 5 Jul 2020 • Li Xing, Songwan Joun, Kurt Mackay, Mary Lesperance, Xuekui Zhang
Method: We propose a grouping algorithm, which treats highly correlated genes as a group and uses their common pattern to represent the group's biological signal in feature selection.
no code implementations • 29 Jan 2019 • Li Xing, Mary Lesperance, Xuekui Zhang
Our goal is to build a model using data in this database, which simultaneously predicts the resistance of multiple drugs using mutation information from sequences of viruses for any new patient.
no code implementations • 21 Jun 2018 • Yan Xu, Li Xing, Jessica Su, Xuekui Zhang, Weiliang Qiu
Genome-wide association studies (GWASs) aim to detect genetic risk factors for complex human diseases by identifying disease-associated single-nucleotide polymorphisms (SNPs).