Shuilin Jin

Orcid: 0000-0002-2318-432X

According to our database1, Shuilin Jin authored at least 26 papers between 2013 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Accurate and efficient HiChIP interaction detection by modeling restriction enzyme cut site density as biological signal.
Briefings Bioinform., 2026

2025
Quantifying batch effects for individual genes in single-cell data.
Nat. Comput. Sci., August, 2025

A comparison of integration methods for single-cell RNA sequencing data and ATAC sequencing data.
Quant. Biol., 2025

Spatial domain identification method based on multi-view graph convolutional network and contrastive learning.
PLoS Comput. Biol., 2025

Integration of unpaired single cell omics data by deep transfer graph convolutional network.
PLoS Comput. Biol., 2025

HyperDiffuseNet: A Deep Hyperbolic Manifold Learning Method for Dimensionality Reduction in Spatial Transcriptomics.
J. Comput. Biol., 2025

scGT: integration algorithm for single-cell RNA-seq and ATAC-seq based on graph transformer.
Bioinform., 2025

reDA: differential abundance testing on scATAC-seq data using random walk with restart.
Bioinform., 2025

scBCN: deep learning-based batch correction network for integration of heterogeneous single-cell data.
Briefings Bioinform., 2025

2022
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., 2022

2021
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., 2021

2020
ERDS-Exome: A Hybrid Approach for Copy Number Variant Detection from Whole-Exome Sequencing Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

NDRindex: a method for the quality assessment of single-cell RNA-Seq preprocessing data.
BMC Bioinform., 2020

LAK: Lasso and K-Means Based Single-Cell RNA-Seq Data Clustering Analysis.
IEEE Access, 2020

2019
A Method Based on Differential Entropy-Like Function for Detecting Differentially Expressed Genes Across Multiple Conditions in RNA-Seq Studies.
Entropy, 2019

ProbPFP: a multiple sequence alignment algorithm combining hidden Markov model optimized by particle swarm optimization with partition function.
BMC Bioinform., 2019

BIN1 rs744373 variant shows different association with Alzheimer's disease in Caucasian and Asian populations.
BMC Bioinform., 2019

NDRindex: A method for the quality assessment of single-cell RNA-Seq preprocessing data.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Disease status affects the association between rs4813620 and the expression of Alzheimer's disease susceptibility gene <i>TRIB3</i>.
Proc. Natl. Acad. Sci. USA, 2018

EWAS: epigenome-wide association study software 2.0.
Bioinform., 2018

BIN1 rs744373 Variant Is Significantly Associated with Alzheimer's Disease in Caucasian but Not East Asian Populations.
Proceedings of the Intelligent Computing Theories and Application, 2018

ProbPFP: A Multiple Sequence Alignment Algorithm Combining Partition Function and Hidden Markov Model with Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
DTWscore: differential expression and cell clustering analysis for time-series single-cell RNA-seq data.
BMC Bioinform., 2017

2016
ERDS-pe: A paired hidden Markov model for copy number variant detection from whole-exome sequencing data.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression.
Nucleic Acids Res., 2015

2013
Predicting human microRNA-disease associations based on support vector machine.
Int. J. Data Min. Bioinform., 2013


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