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Cells|October 2, 2019
An Efficient and Flexible Method for Deconvoluting Bulk RNA-Seq Data with Single-Cell RNA-Seq DataXifang Sun, Shiquan Sun, Sheng YangBMC Bioinformatics|April 20, 2018
Higher-order partial least squares for predicting gene expression levels from chromatin statesShiquan Sun, Xifang Sun, Yan ZhengBMC Bioinformatics|January 11, 2022
A novel nonparametric computational strategy for identifying differential methylation regionsXifang Sun, Donglin Wang, Jiaqiang Zhu, et al.Genomics|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.Nature Communications|August 2, 2020
Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studiesZhongshang Yuan, Huanhuan Zhu, Ping Zeng, et al.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 SunPlos 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 ZhouArtificial Intelligence in Medicine|April 2, 2017
A high-order representation and classification method for transcription factor binding sites recognition in Escherichia coliShiquan Sun, Xiongpan Zhang, Qinke PengGenome Biology|June 22, 2021
SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studiesJiaqiang Zhu, Shiquan Sun, Xiang ZhouPageof 318