Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies.
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CoRR, 2024
L2 Normalization and Geodesic Distance for Enhanced Information Preservation in Visualizing High-dimensional Single-cell Sequencing Data.
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
STADS: Spatial Transcriptomics to Aid Drug-reposition Recommendation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023
Computational Methods for Single-cell Multi-omics Integration and Alignment.
Genom. Proteom. Bioinform., October, 2022
Emerging Artificial Intelligence Applications in Spatial Transcriptomics Analysis.
CoRR, 2022
BML: a versatile web server for bipartite motif discovery.
Briefings Bioinform., 2022
Evaluation of Cell Type Annotation R Packages on Single-cell RNA-seq Data.
Genom. Proteom. Bioinform., 2021
GranatumX: A Community-engaging, Modularized, and Flexible Webtool for Single-cell Data Analysis.
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Genom. Proteom. Bioinform., 2021
Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR data.
Bioinform., 2021
Network-Based Matching of Patients and Targeted Therapies for Precision Oncology.
Proceedings of the Pacific Symposium on Biocomputing 2020, 2020
Two-stage Neural-network based Prognosis Models using Pathological Image and Transcriptomic Data: An Application in Hepatocellular Carcinoma Patient Survival Prediction.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020
Proceedings of the Biocomputing 2019: Proceedings of the Pacific Symposium, 2019
Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data.
PLoS Comput. Biol., 2018
Pan-cancer analysis of expressed somatic nucleotide variants in long intergenic non-coding RNA.
Proceedings of the Biocomputing 2018: Proceedings of the Pacific Symposium, 2018
The Training of Next Generation Data Scientists in Biomedicine.
Proceedings of the Biocomputing 2017: Proceedings of the Pacific Symposium, 2017
Using epigenomics data to predict gene expression in lung cancer.
BMC Bioinform., 2015
Non-coding yet non-trivial: a review on the computational genomics of lincRNAs.
BioData Min., 2015
A Novel Model to Combine Clinical and Pathway-Based Transcriptomic Information for the Prognosis Prediction of Breast Cancer.
PLoS Comput. Biol., 2014
A Clustering Approach to Identify Intergenic Non-coding RNA in Mouse Macrophages.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010
Peak-Finding Refinement in the Chip-SEQ Experiment.
Proceedings of the ISCA 21st International Conference on Computer Applications in Industry and Engineering, 2008