Kei Hang Katie Chan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 8

Top Topics

Ensemble Learning

Gene Regulatory Networks

Base Classifiers

Top Venues

Briefings Bioinform.

Publications

Yahui Lei, Xiao-Tai Huang, Xingli Guo, Kei Hang Katie Chan, Lin Gao
DeepGRNCS: deep learning-based framework for jointly inferring gene regulatory networks across cell subpopulations. Briefings Bioinform. 25 (4) (2024)
Yiming Du, Zhuotian Li, Qian He, Thomas Wetere Tulu, Kei Hang Katie Chan, Lin Wang, Sen Pei, Xiao-Ke Xu, Xiao Fan Liu
DPCIPI: A pre-trained deep learning model for estimation of cross-immunity between drifted strains of Influenza A/H3N2. CoRR (2023)
Ruixuan Huang, Jundong Liu, Tsz Kin Wan, Damrongrat Siriwanna, Yat Ming Peter Woo, Asmir Vodencarevic, Chi Wah Wong, Kei Hang Katie Chan
Stroke mortality prediction based on ensemble learning and the combination of structured and textual data. Comput. Biol. Medicine 155 (2023)
Adam N. Bennett, Jethro Rainford, Xiaotai Huang, Qian He, Kei Hang Katie Chan
Canary: an automated tool for the conversion of MaCH imputed dosage files to PLINK files. BMC Bioinform. 23 (1) (2022)
Song Wang, Xiao-Tai Huang, Kei Hang Katie Chan, Lin Gao
IMRDriver: coding and non-coding cancer driver genes identification based on network propagation. BIBM (2022)
Zepeng Liu, Xiao-Tai Huang, Kei Hang Katie Chan, Lin Gao
Predicting the functional effects of human non-coding variants based on stacking ensemble learning. BIBM (2022)
Li Pan, Jundong Liu, Mingqin Shi, Chi Wah Wong, Kei Hang Katie Chan
Identifying Autism Spectrum Disorder Based on Individual-Aware Down-Sampling and Multi-Modal Learning. CoRR (2021)
Ruixuan Huang, William C. Cho, Yanni Sun, Kei Hang Katie Chan
The Lung Cancer Associated MicroRNAs and Single Nucleotides Polymorphisms: a Mendelian Randomization Analysis. EMBC (2020)