Advancing real-time infectious disease forecasting using large language models.
Nat. Comput. Sci., June, 2025
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study.
CoRR, 2024
Empower an End-to-end Scalable and Interpretable Data Science Ecosystem using Statistics, AI and Domain Science.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
FAVOR: functional annotation of variants online resource and annotator for variation across the human genome.
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Nucleic Acids Res., January, 2023
Caught in the Crossfire: Fears of Chinese-American Scientists.
CoRR, 2022
COVID-19 Spread Mapper: a multi-resolution, unified framework and open-source tool.
Bioinform., 2022
STAAR workflow: a cloud-based workflow for scalable and reproducible rare variant analysis.
Bioinform., 2022
Identification of differentially expressed gene sets using the Generalized Berk-Jones statistic.
Bioinform., 2019
FDR control of detected regions by multiscale matched filtering.
Commun. Stat. Simul. Comput., 2017
Rare variant association test in family-based sequencing studies.
Briefings Bioinform., 2017
CpGFilter: model-based CpG probe filtering with replicates for epigenome-wide association studies.
Bioinform., 2016
Gene set analysis using variance component tests.
BMC Bioinform., 2013
Sparse linear discriminant analysis for simultaneous testing for the significance of a gene set/pathway and gene selection.
Bioinform., 2009
Estimation and testing for the effect of a genetic pathway on a disease outcome using logistic kernel machine regression via logistic mixed models.
BMC Bioinform., 2008
Quantitative quality-assessment techniques to compare fractionation and depletion methods in SELDI-TOF mass spectrometry experiments.
Bioinform., 2007