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Shiquan Sun
Shiquan Sun
Professor of Biostatistics, Xi'an Jiaotong University
在 xjtu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Statistical analysis of spatial expression patterns for spatially resolved transcriptomic studies
S Sun, J Zhu, X Zhou
Nature methods 17 (2), 193-200, 2020
2792020
Accuracy, robustness and scalability of dimensionality reduction methods for single-cell RNA-seq analysis
S Sun, J Zhu, Y Ma, X Zhou
Genome biology 20, 1-21, 2019
1842019
Collaborative filtering recommendation algorithm based on user preference derived from item domain features
J Zhang, Q Peng, S Sun, C Liu
Physica A: Statistical Mechanics and its Applications 396, 66-76, 2014
1072014
SPARK-X: non-parametric modeling enables scalable and robust detection of spatial expression patterns for large spatial transcriptomic studies
J Zhu, S Sun, X Zhou
Genome biology 22 (1), 184, 2021
1032021
Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies
Z Yuan, H Zhu, P Zeng, S Yang, S Sun, C Yang, J Liu, X Zhou
Nature communications 11 (1), 3861, 2020
932020
A kernel-based multivariate feature selection method for microarray data classification
S Sun, Q Peng, A Shakoor
PloS one 9 (7), e102541, 2014
702014
Differential expression analysis for RNAseq using Poisson mixed models
S Sun, M Hood, L Scott, Q Peng, S Mukherjee, J Tung, X Zhou
Nucleic acids research 45 (11), e106-e106, 2017
662017
Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
Y Ma, S Sun, X Shang, ET Keller, M Chen, X Zhou
Nature communications 11 (1), 1585, 2020
652020
Heritability estimation and differential analysis of count data with generalized linear mixed models in genomic sequencing studies
S Sun, J Zhu, S Mozaffari, C Ober, M Chen, X Zhou
Bioinformatics 35 (3), 487-496, 2019
622019
Socioeconomic deprivation index is associated with psychiatric disorders: an observational and genome-wide gene-by-environment interaction analysis in the UK Biobank cohort
J Ye, Y Wen, X Sun, X Chu, P Li, B Cheng, S Cheng, L Liu, L Zhang, M Ma, ...
Biological psychiatry 89 (9), 888-895, 2021
612021
Deriving interval weights from an interval multiplicative consistent fuzzy preference relation
J Lan, M Hu, X Ye, S Sun
Knowledge-Based Systems 26, 128-134, 2012
402012
Delineating the dynamic evolution from preneoplasia to invasive lung adenocarcinoma by integrating single-cell RNA sequencing and spatial transcriptomics
J Zhu, Y Fan, Y Xiong, W Wang, J Chen, Y Xia, J Lei, L Gong, S Sun, ...
Experimental & Molecular Medicine 54 (11), 2060-2076, 2022
392022
Global feature selection from microarray data using Lagrange multipliers
S Sun, Q Peng, X Zhang
Knowledge-Based Systems 110, 267-274, 2016
272016
A fast and efficient count-based matrix factorization method for detecting cell types from single-cell RNAseq data
S Sun, Y Chen, Y Liu, X Shang
BMC systems biology 13, 1-8, 2019
232019
An efficient and flexible method for deconvoluting bulk RNA-seq data with single-cell RNA-seq data
X Sun, S Sun, S Yang
Cells 8 (10), 1161, 2019
212019
A hybrid PSO-GSA strategy for high-dimensional optimization and microarray data clustering
S Sun, Q Peng
2014 IEEE international conference on information and automation (ICIA), 41-46, 2014
202014
IMAGE: high-powered detection of genetic effects on DNA methylation using integrated methylation QTL mapping and allele-specific analysis
Y Fan, TP Vilgalys, S Sun, Q Peng, J Tung, X Zhou
Genome biology 20, 1-18, 2019
172019
Identifying discriminative features for diagnosis of Kashin-Beck disease among adolescents
Y Zhang, X Wei, C Cao, F Yu, W Li, G Zhao, H Wei, F Zhang, P Meng, ...
BMC musculoskeletal disorders 22, 1-10, 2021
132021
Genome-Wide Differentially Methylated Region Analysis to Reveal Epigenetic Differences of Articular Cartilage in Kashin–Beck Disease and Osteoarthritis
Y Fan, D Gao, Y Zhang, J Zhu, F Zhang, L Wang, Y Wen, X Guo, S Sun
Frontiers in Cell and Developmental Biology 9, 636291, 2021
112021
Higher-order partial least squares for predicting gene expression levels from chromatin states
S Sun, X Sun, Y Zheng
BMC bioinformatics 19, 47-54, 2018
82018
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