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Zhaohui S. Qin
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- affiliation: Emory University, Atlanta, GA, USA
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2020 – today
- 2024
- [j37]Shiyu Wang
, Yuanqi Du
Controllable Data Generation by Deep Learning: A Review. ACM Comput. Surv. 56(9): 228:1-228:38 (2024) - 2023
- [j36]Ramin Homayouni, Prashanti Manda, Aik Choon Tan
Editorial: AI and data science in drug development and public health: Highlights from the MCBIOS 2022 conference. Frontiers Big Data 6 (2023) - 2022
- [j35]Zhen Cao, Yanting Huang, Ran Duan, Peng Jin, Zhaohui S. Qin
Disease category-specific annotation of variants using an ensemble learning framework. Briefings Bioinform. 23(1) (2022) - [j34]Wenjing Ma
LRcell: detecting the source of differential expression at the sub-cell-type level from bulk RNA-seq data. Briefings Bioinform. 23(3) (2022) - [j33]Da Yan
Guest Editorial for Selected Papers From BIOKDD 2021. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3068-3069 (2022) - 2021
- [j32]Boqi Wang, James Yang, Steven Qiu, Yongsheng Bai, Zhaohui S. Qin
Systematic Exploration in Tissue-Pathway Associations of Complex Traits Using Comprehensive eQTLs Catalog. Frontiers Big Data 4: 719737 (2021) - [j31]Zhaohui S. Qin
A wonderful time - exciting progress made in the past 20 years in genetics powered by the Human Genome Project. Quant. Biol. 9(4): 366-370 (2021) - 2020
- [j30]Tianlei Xu
A comprehensive review of computational prediction of genome-wide features. Briefings Bioinform. 21(1): 120-134 (2020) - [j29]Tianlei Xu
Regulatory annotation of genomic intervals based on tissue-specific expression QTLs. Bioinform. 36(3): 690-697 (2020) - [j28]Guodong Yang, Aiqun Ma, Zhaohui S. Qin
Application of topic models to a compendium of ChIP-Seq datasets uncovers recurrent transcriptional regulatory modules. Bioinform. 36(8): 2352-2358 (2020) - [j27]Jonathan D. Wren, Yongsheng Bai, Zhaohui S. Qin
Proceedings of the 2019 MidSouth Computational Biology and Bioinformatics Society (MCBIOS) Conference. BMC Bioinform. 21-S(4): 254 (2020) - [j26]Rongrong Zhang, Ming Hu
Inferring Spatial Organization of Individual Topologically Associated Domains via Piecewise Helical Model. IEEE ACM Trans. Comput. Biol. Bioinform. 17(2): 647-656 (2020)
2010 – 2019
- 2019
- [j25]Axel Poulet, Ben Li, Tristan Dubos
RT States: systematic annotation of the human genome using cell type-specific replication timing programs. Bioinform. 35(13): 2167-2176 (2019) - 2018
- [j24]Payam Karisani, Zhaohui S. Qin
Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval. Database J. Biol. Databases Curation 2018: bax104 (2018) - 2017
- [j23]Xiaobo Sun, William S. Pittard, Tianlei Xu, Li Chen
Omicseq: a web-based search engine for exploring omics datasets. Nucleic Acids Res. 45(Webserver-Issue): W445-W452 (2017) - [j22]Zhaohui S. Qin
Special collection of bioinformatics in the era of precision medicine. Quant. Biol. 5(4): 277-279 (2017) - [c7]Xiaobo Sun, Fusheng Wang
High Performance Merging of Massive Data from Genome-Wide Association Studies. DMAH@VLDB 2017: 36-40 - 2016
- [j21]Zheng Xu
A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data. Bioinform. 32(5): 650-656 (2016) - [j20]Ben Li, Zhaonan Sun, Qing He, Yu Zhu, Zhaohui S. Qin
Bayesian inference with historical data-based informative priors improves detection of differentially expressed genes. Bioinform. 32(5): 682-689 (2016) - [j19]Li Chen
traseR: an R package for performing trait-associated SNP enrichment analysis in genomic intervals. Bioinform. 32(8): 1214-1216 (2016) - [c6]Yongqun He, Zhaohui S. Qin, Jie Zheng:
EGO: A Biomedical Ontology for Integrative Epigenome Representation and Analysis. ICBO/BioCreative 2016 - 2015
- [j18]Li Chen
A novel statistical method for quantitative comparison of multiple ChIP-seq datasets. Bioinform. 31(12): 1889-1896 (2015) - [j17]Shuai Yuan, H. Richard Johnston, Guosheng Zhang, Yun Li, Yi-Juan Hu, Zhaohui S. Qin
One Size Doesn't Fit All - RefEditor: Building Personalized Diploid Reference Genome to Improve Read Mapping and Genotype Calling in Next Generation Sequencing Studies. PLoS Comput. Biol. 11(8) (2015) - 2013
- [j16]Hyungwon Choi
Sparsely correlated hidden Markov models with application to genome-wide location studies. Bioinform. 29(5): 533-541 (2013) - [j15]Zuoshuang Xiang, Tingting Qin, Zhaohui S. Qin
A genome-wide MeSH-based literature mining system predicts implicit gene-to-gene relationships and networks. BMC Syst. Biol. 7(S-3): S9 (2013) - [j14]Ming Hu
Bayesian Inference of Spatial Organizations of Chromosomes. PLoS Comput. Biol. 9(1) (2013) - [j13]Ming Hu
Understanding spatial organizations of chromosomes via statistical analysis of Hi-C data. Quant. Biol. 1(2): 156-174 (2013) - 2012
- [j12]Ming Hu
Using Poisson mixed-effects model to quantify transcript-level gene expression in RNA-Seq. Bioinform. 28(1): 63-68 (2012) - [j11]Ming Hu
HiCNorm: removing biases in Hi-C data via Poisson regression. Bioinform. 28(23): 3131-3133 (2012) - [c5]Shuai Yuan, Zhaohui S. Qin
Read-mapping using personalized diploid reference genome for RNA sequencing data reduced bias for detecting allele-specific expression. BIBM Workshops 2012: 718-724 - 2010
- [j10]Zhaohui S. Qin
HPeak: an HMM-based algorithm for defining read-enriched regions in ChIP-Seq data. BMC Bioinform. 11: 369 (2010) - [j9]Hyungwon Choi
A Double-Layered Mixture Model for the Joint Analysis of DNA Copy Number and Gene Expression Data. J. Comput. Biol. 17(2): 121-137 (2010)
2000 – 2009
- 2009
- [j8]Hyungwon Choi
Hierarchical hidden Markov model with application to joint analysis of ChIP-chip and ChIP-seq data. Bioinform. 25(14): 1715-1721 (2009) - 2008
- [j7]Zhaohui S. Qin:
Data Analysis and Graphics Using R: An Example-Based Approach, Second Edition.: John Maindonald and John Braun. Briefings Bioinform. 9(3): 258-259 (2008) - 2007
- [j6]Zuoshuang Xiang, Zhaohui S. Qin
CRCView: a web server for analyzing and visualizing microarray gene expression data using model-based clustering. Bioinform. 23(14): 1843-1845 (2007) - 2006
- [j5]Zhaohui S. Qin
An efficient comprehensive search algorithm for tagSNP selection using linkage disequilibrium criteria. Bioinform. 22(2): 220-225 (2006) - [j4]Zhaohui S. Qin
Clustering microarray gene expression data using weighted Chinese restaurant process. Bioinform. 22(16): 1988-1997 (2006) - [c4]Shyam Gopalakrishnan, Zhaohui S. Qin:
TagSNP Selection Based on Pairwise LD Criteria and Power Analysis in Association Studies. Pacific Symposium on Biocomputing 2006: 511-522 - 2005
- [j3]Kui Zhang, Zhaohui S. Qin
HapBlock: haplotype block partitioning and tag SNP selection software using a set of dynamic programming algorithms. Bioinform. 21(1): 131-134 (2005) - [j2]Dongxiao Zhu, Zhaohui S. Qin
Structural comparison of metabolic networks in selected single cell organisms. BMC Bioinform. 6: 8 (2005) - [j1]Dongxiao Zhu, Alfred O. Hero III, Zhaohui S. Qin
High Throughput Screening of Co-Expressed Gene Pairs with Controlled False Discovery Rate (FDR) and Minimum Acceptable Strength (MAS). J. Comput. Biol. 12(7): 1029-1045 (2005) - 2003
- [c3]Xin Lu, Wen Zhang, Zhaohui S. Qin
Statistical Resynchronization and Detection of Periodic Transcripts. CSB 2003: 394-395 - 2002
- [c2]Tianhua Niu, Xin Lu, Hosung Kang, Zhaohui S. Qin
Haplotype Inference and Its Application in Linkage Disequilibrium Mapping. Computational Methods for SNPs and Haplotype Inference 2002: 48-61 - [c1]Kui Zhang, Ting Chen, Michael S. Waterman, Zhaohui S. Qin
Dynamic Programming Algorithms for Haplotype Block Partitioning and Tag SNP Selection Using Haplotype Data or Genotype Data. Computational Methods for SNPs and Haplotype Inference 2002: 96-112
Coauthor Index
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