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Genome Biology|April 15, 2024
Powerful and accurate detection of temporal gene expression patterns from multi-sample multi-stage single-cell transcriptomics data with TDEseqYue Fan, Lei Li, Shiquan SunGenomics|April 6, 2026
OMICX: An AI-powered web platform for integrative analysis of multi-condition single-cell transcriptomics dataYue Fan, Jin Ning, Long Wang, et al.Genome Biology|October 26, 2019
IMAGE: high-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysisYue Fan, Tauras P Vilgalys, Shiquan Sun, et al.Briefings in Functional Genomics|April 6, 2023
Recent advances in differential expression analysis for single-cell RNA-seq and spatially resolved transcriptomic studiesXiya Guo, Jin Ning, Yuanze Chen, et al.Annals of the Rheumatic Diseases|February 7, 2024
Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integrationYue Fan, Xuzhao Bian, Xiaogao Meng, et al.Frontiers in Cell and Developmental Biology|March 18, 2021
Genome-Wide Differentially Methylated Region Analysis to Reveal Epigenetic Differences of Articular Cartilage in Kashin-Beck Disease and OsteoarthritisYue Fan, Dalong Gao, Yingang Zhang, et al.Experimental & Molecular Medicine|November 26, 2022
Delineating the dynamic evolution from preneoplasia to invasive lung adenocarcinoma by integrating single-cell RNA sequencing and spatial transcriptomicsJianfei Zhu, Yue Fan, Yanlu Xiong, et al.Plos One|July 23, 2014
A kernel-based multivariate feature selection method for microarray data classificationShiquan Sun, Qinke Peng, Adnan ShakoorNature Methods|January 29, 2020
Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studiesShiquan Sun, Jiaqiang Zhu, Xiang ZhouCells|October 2, 2019
An Efficient and Flexible Method for Deconvoluting Bulk RNA-Seq Data with Single-Cell RNA-Seq DataXifang Sun, Shiquan Sun, Sheng YangPageof 956