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2020 – today
- 2022
[j13]Jing Qi, Yang Zhou, Zicen Zhao, Shuilin Jin:
Correction: SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data. PLoS Comput. Biol. 18(1) (2022)- 2021
- [j12]Jing Qi
, Yang Zhou, Zicen Zhao, Shuilin Jin:
SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data. PLoS Comput. Biol. 17(6) (2021) - 2020
- [j11]Jiao Hua, Hongkun Liu, Boyang Zhang, Shuilin Jin:
LAK: Lasso and K-Means Based Single-Cell RNA-Seq Data Clustering Analysis. IEEE Access 8: 129679-129688 (2020) - [j10]Ruiyu Xiao, Guoshan Lu, Wanqian Guo, Shuilin Jin:
NDRindex: a method for the quality assessment of single-cell RNA-Seq preprocessing data. BMC Bioinform. 21-S(16): 540 (2020) - [j9]Renjie Tan, Jixuan Wang, Xiaoliang Wu, Liran Juan, Tianjiao Zhang, Rui Ma, Qing Zhan, Tao Wang, Shuilin Jin, Qinghua Jiang, Yadong Wang:
ERDS-Exome: A Hybrid Approach for Copy Number Variant Detection from Whole-Exome Sequencing Data. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 796-803 (2020)
2010 – 2019
- 2019
- [j8]Qing Zhan, Nan Wang, Shuilin Jin, Renjie Tan, Qinghua Jiang, Yadong Wang:
ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function. BMC Bioinform. 20-S(18): 573:1-573:10 (2019) - [j7]Zhifa Han, Tao Wang, Rui Tian, Wenyang Zhou, Pingping Wang, Peng Ren, Jian Zong, Yang Hu, Shuilin Jin, Qinghua Jiang:
BIN1 rs744373 variant shows different association with Alzheimer's disease in Caucasian and Asian populations. BMC Bioinform. 20-S(25): 691 (2019) - [j6]Zhuo Wang, Shuilin Jin, Chiping Zhang:
A Method Based on Differential Entropy-Like Function for Detecting Differentially Expressed Genes Across Multiple Conditions in RNA-Seq Studies. Entropy 21(3): 242 (2019) - [c4]Ruiyu Xiao, Guoshan Lu, Shuilin Jin:
NDRindex: A method for the quality assessment of single-cell RNA-Seq preprocessing data. BIBM 2019: 1792-1800 - 2018
- [j5]Jing Xu, Linna Zhao, Di Liu, Simeng Hu, Xiuling Song, Jin Li, Hongchao Lv, Lian Duan, Mingming Zhang, Qinghua Jiang, Guiyou Liu, Shuilin Jin, Mingzhi Liao, Meng Zhang, Rennan Feng, Fanwu Kong, Liangde Xu, Yongshuai Jiang:
EWAS: epigenome-wide association study software 2.0. Bioinform. 34(15): 2657-2658 (2018) - [j4]Guiyou Liu, Shuilin Jin, Yang Hu, Qinghua Jiang:
Disease status affects the association between rs4813620 and the expression of Alzheimer's disease susceptibility gene TRIB3. Proc. Natl. Acad. Sci. USA 115(45): E10519-E10520 (2018) - [c3]Qing Zhan, Nan Wang, Shuilin Jin, Renjie Tan, Qinghua Jiang, Yadong Wang:
ProbPFP: A Multiple Sequence Alignment Algorithm Combining Partition Function and Hidden Markov Model with Particle Swarm Optimization. BIBM 2018: 1290-1295 - [c2]Zhifa Han, Tao Wang, Rui Tian, Wenyang Zhou, Pingping Wang, Peng Ren, Jian Zong, Yang Hu, Shuilin Jin, Qinghua Jiang:
BIN1 rs744373 Variant Is Significantly Associated with Alzheimer's Disease in Caucasian but Not East Asian Populations. ICIC (1) 2018: 520-526 - 2017
- [j3]Zhuo Wang, Shuilin Jin, Guiyou Liu, Xiurui Zhang, Nan Wang, Deliang Wu, Yang Hu, Chiping Zhang, Qinghua Jiang, Li Xu, Yadong Wang:
DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data. BMC Bioinform. 18(1): 270:1-270:14 (2017) - 2016
- [c1]Renjie Tan, Jixuan Wang, Xiaoliang Wu, Guoqiang Wan, Rongjie Wang, Rui Ma, Zhijie Han, Wenyang Zhou, Shuilin Jin, Qinghua Jiang, Yadong Wang:
ERDS-pe: A paired hidden Markov model for copy number variant detection from whole-exome sequencing data. BIBM 2016: 141-144 - 2015
- [j2]Qinghua Jiang, Jixuan Wang, Xiaoliang Wu, Rui Ma, Tianjiao Zhang, Shuilin Jin, Zhijie Han, Renjie Tan, Jiajie Peng, Guiyou Liu, Yu Li, Yadong Wang:
LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression. Nucleic Acids Res. 43(Database-Issue): 193-196 (2015) - 2013
- [j1]Qinghua Jiang, Guohua Wang, Shuilin Jin, Yu Li, Yadong Wang:
Predicting human microRNA-disease associations based on support vector machine. Int. J. Data Min. Bioinform. 8(3): 282-293 (2013)
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