Shili Lin

Orcid: 0000-0003-0090-2269

According to our database1, Shili Lin authored at least 27 papers between 1997 and 2022.

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

Timeline

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Links

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Bibliography

2022
HiCImpute: A Bayesian hierarchical model for identifying structural zeros and enhancing single cell Hi-C data.
PLoS Comput. Biol., 2022

2021
A Novel Pigeon-Inspired Optimized RBF Model for Parallel Battery Branch Forecasting.
Complex., 2021

Are dropout imputation methods for scRNA-seq effective for scHi-C data?
Briefings Bioinform., 2021

2019
Evaluation and comparison of methods for recapitulation of 3D spatial chromatin structures.
Briefings Bioinform., 2019

2017
Investigation on dynamic equalisation performance of lithium battery pack management.
IET Circuits Devices Syst., 2017

2016
Sparse Inverse Covariance Estimation with <i>L</i><sub>0</sub> Penalty for Network Construction with Omics Data.
J. Comput. Biol., 2016

Impact of data resolution on three-dimensional structure inference methods.
BMC Bioinform., 2016

Statistical methods for detecting differentially methylated regions based on MethylCap-seq data.
Briefings Bioinform., 2016

2015
GrammR: graphical representation and modeling of count data with application in metagenomics.
Bioinform., 2015

Network construction and structure detection with metagenomic count data.
BioData Min., 2015

Detecting associations of rare variants with common diseases: collapsing or haplotyping?
Briefings Bioinform., 2015

2014
A Mixture Modeling Framework for Differential Analysis of High-Throughput Data.
Comput. Math. Methods Medicine, 2014

FamLBL: detecting rare haplotype disease association based on common SNPs using case-parent triads.
Bioinform., 2014

PrEMeR-CG: inferring nucleotide level DNA methylation values from MethylCap-seq data.
Bioinform., 2014

2011
Identifying hypermethylated CpG islands using a quantile regression model.
BMC Bioinform., 2011

DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models.
Bioinform., 2011

Preprocessing differential methylation hybridization microarray data.
BioData Min., 2011

Chromatin signature analysis and prediction of genome-wide novel promoters using finite mixture model.
Proceedings of the 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, 2011

2010
Sparse Support Vector Machines with L_{p} Penalty for Biomarker Identification.
IEEE ACM Trans. Comput. Biol. Bioinform., 2010

2009
A robust unified approach to analyzing methylation and gene expression data.
Comput. Stat. Data Anal., 2009

Identifying differentially methylated genes using mixed effect and generalized least square models.
BMC Bioinform., 2009

Comparative study on ChIP-seq data: normalization and binding pattern characterization.
Bioinform., 2009

2008
Probe signal correction for differential methylation hybridization experiments.
BMC Bioinform., 2008

2007
Heritable clustering and pathway discovery in breast cancer integrating epigenetic and phenotypic data.
BMC Bioinform., 2007

2006
Genome-Wide Tagging SNPs with Entropy-Based Monte Carlo Method.
J. Comput. Biol., 2006

2004
Class discovery and classification of tumor samples using mixture modeling of gene expression data - a unified approach.
Bioinform., 2004

1997
An Algorithm for Haplotype Analysis.
J. Comput. Biol., 1997


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