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Shiquan Sun

Showing results (1-10 of 79) with videos related to

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Frontiers in Genetics|September 13, 2021
Editorial: Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing StudiesShiquan Sun, Sheng Yang
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 Sun
Plos One|July 23, 2014
A kernel-based multivariate feature selection method for microarray data classificationShiquan Sun, Qinke Peng, Adnan Shakoor
Nature Methods|January 29, 2020
Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studiesShiquan Sun, Jiaqiang Zhu, Xiang Zhou
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 Yang
Artificial 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 Peng
Genome 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 Zhou
BMC Bioinformatics|April 20, 2018
Higher-order partial least squares for predicting gene expression levels from chromatin statesShiquan Sun, Xifang Sun, Yan Zheng
Small Methods|May 9, 2025
Unraveling Tissue Complexity Through Single-Cell and Spatial TranscriptomicsShiquan Sun, Chaoyong Yang, Lulu Shang, et al.
Annals of the Rheumatic Diseases|February 12, 2025
Response to: Correspondence on 'Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration' by Fan et alYue Fan, Xuzhao Bian, Di Zhang, et al.
Pageof 8

Showing results (1-10 of 79) with videos related to

Sort By:
Pageof 8
Frontiers in Genetics|September 13, 2021
Editorial: Integrative Analysis of Genome-Wide Association Studies and Single-Cell Sequencing StudiesShiquan Sun, Sheng Yang
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 Sun
Plos One|July 23, 2014
A kernel-based multivariate feature selection method for microarray data classificationShiquan Sun, Qinke Peng, Adnan Shakoor
Nature Methods|January 29, 2020
Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studiesShiquan Sun, Jiaqiang Zhu, Xiang Zhou
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 Yang
Artificial 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 Peng
Genome 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 Zhou
BMC Bioinformatics|April 20, 2018
Higher-order partial least squares for predicting gene expression levels from chromatin statesShiquan Sun, Xifang Sun, Yan Zheng
Small Methods|May 9, 2025
Unraveling Tissue Complexity Through Single-Cell and Spatial TranscriptomicsShiquan Sun, Chaoyong Yang, Lulu Shang, et al.
Annals of the Rheumatic Diseases|February 12, 2025
Response to: Correspondence on 'Unveiling inflammatory and prehypertrophic cell populations as key contributors to knee cartilage degeneration in osteoarthritis using multi-omics data integration' by Fan et alYue Fan, Xuzhao Bian, Di Zhang, et al.
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