Lin Zhang

发表

A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling

Yufei Huang, Shou-Jiang Gao, Lin Zhang, 2010, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Tumor gene expression data classification via sample expansion-based deep learning

X. Wang, Yuhu Cheng, Lin Zhang, 2017, Oncotarget.

A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package.

Yufei Huang, Shaowu Zhang, Yidong Chen, 2014, Methods.

A nonparametric Bayesian approach for clustering bisulfate-based DNA methylation profiles

Yufei Huang, Hui Liu, Lin Zhang, 2012, BMC Genomics.

Clustering Count-based RNA Methylation Data Using a Nonparametric Generative Model

Yufei Huang, Xuesong Wang, Jia Meng, 2018, Current Bioinformatics.

Spatially Enhanced Differential RNA Methylation Analysis from Affinity-Based Sequencing Data with Hidden Markov Model

Yufei Huang, Jia Meng, Shao-Wu Zhang, 2015, BioMed research international.

An Optimal Mean Based Block Robust Feature Extraction Method to Identify Colorectal Cancer Genes with Integrated Data

X. Wang, Yuhu Cheng, Hui Liu, 2017, Scientific Reports.

RC-Net: Regression Correction for End-To-End Chromosome Instance Segmentation

Hui Liu, Lin Zhang, Sifan Song, 2022, Frontiers in Genetics.

Viral and Cellular N6-Methyladenosine (m6A) and N6, 2′-O-Dimethyladenosine (m6Am) Epitranscriptomes in KSHV Life Cycle

Yufei Huang, Jia Meng, Shou-Jiang Gao, 2017, Nature Microbiology.

LRTCLS: low-rank tensor completion with Laplacian smoothing regularization for unveiling the post-transcriptional machinery of N6-methylation (m6A)-mediated diseases

Hui Liu, Lin Zhang, Jiani Ma, 2022, Briefings Bioinform..

EMDLP: Ensemble multiscale deep learning model for RNA methylation site prediction

Yanjing Sun, Hui Liu, Lin Zhang, 2022, BMC Bioinformatics.

Bayesian Peptide Peak Detection for High Resolution TOF Mass Spectrometry

Xiaobo Zhou, Stephen T. C. Wong, Yufei Huang, 2010, IEEE Transactions on Signal Processing.

BRPCA: Bounded Robust Principal Component Analysis to Incorporate Similarity Network for N7-Methylguanosine(m7G) Site-Disease Association Prediction

Shaojie Li, Hui Liu, Lin Zhang, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

ARMS Net: Overlapping chromosome segmentation based on Adaptive Receptive field Multi-Scale network

Lin Zhang, Hui Liu, Guangjie Wang, 2021, Biomed. Signal Process. Control..

lncRScan-SVM: A Tool for Predicting Long Non-Coding RNAs Using Support Vector Machine

Jia Meng, Lin Zhang, Hui Liu, 2015, PloS one.

Activation of Nrf2 modulates protective immunity against Mycobacterium tuberculosis infection in THP1-derived macrophages.

Jie Zhou, Hongtao Wang, Z. Qian, 2022, Free radical biology & medicine.

miRNA Target Prediction Method Based on the Combination of Multiple Algorithms

Dong Yue, Hui He, Hui Liu, 2010, ICIC.

SysMicrO: A Novel Systems Approach for miRNA Target Prediction

Hui Liu, Yufei Huang, Yidong Chen, 2010, ICIC.

A Bayesian Approach for Identifying miRNA Targets by Combining Sequence Prediction and Expression Profiling

Hui Liu, Yufei Huang, Lin Zhang, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

A SVM based approach for miRNA target prediction

Hui Liu, Lin Zhang, Yu-Fei Huang, 2008, 2008 International Conference on Machine Learning and Cybernetics.

A machine learning approach for miRNA target prediction

Yufei Huang, Shou-Jiang Gao, Lin Zhang, 2008, 2008 IEEE International Workshop on Genomic Signal Processing and Statistics.

MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome

Xing Chen, Hui Liu, Yufei Huang, 2017, Nucleic Acids Res..

m7GDisAI: N7-methylguanosine (m7G) sites and diseases associations inference based on heterogeneous network

Hui Liu, Lin Zhang, Jiani Ma, 2021, BMC Bioinform..

Guitar: An R/Bioconductor Package for Gene Annotation Guided Transcriptomic Analysis of RNA-Related Genomic Features

Yufei Huang, Jia Meng, Shao-Wu Zhang, 2016, BioMed research international.

RNA methylation and diseases: experimental results, databases, Web servers and computational models

Ya-Zhou Sun, Jian-Qiang Li, Xing Chen, 2019, Briefings Bioinform..

m7GDisAI: N7-methylguanosine (m7G) sites and diseases associations inference based on heterogeneous network

Bowen Song, Jiani Ma, Lin Zhang, 2021, BMC Bioinformatics.

MeTDiff: A Novel Differential RNA Methylation Analysis for MeRIP-Seq Data

Xiaodong Cui, Yufei Huang, Yidong Chen, 2018, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Cancer Characteristic Gene Selection via Sample Learning Based on Deep Sparse Filtering

Yuhu Cheng, Lin Zhang, Jian Liu, 2018, Scientific Reports.

An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer

Hui Liu, Yufei Huang, Yidong Chen, 2012, Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS).

Decomposition of RNA methylome reveals co-methylation patterns induced by latent enzymatic regulators of the epitranscriptome.

Yufei Huang, Jia Meng, Runsheng Chen, 2015, Molecular bioSystems.

Sketching the distribution of transcriptomic features on RNA transcripts with Travis coordinates

Jia Meng, Yufei Huang, Lin Zhang, 2015, 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

A Hybrid Interpolation Weighted Collaborative Filtering Method for Anti-cancer Drug Response Prediction

Na-Na Guan, Hui Liu, Lin Zhang, 2018, Front. Pharmacol..

Cancer Progression Prediction Using Gene Interaction Regularized Elastic Net

Hui Liu, Yufei Huang, Xuesong Wang, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Differential analysis of RNA methylome with improved spatial resolution

Xiaodong Cui, Hui Liu, Yufei Huang, 2014, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

A brief review of RNA modification related database resources.

Hui Liu, Lin Zhang, Jiani Ma, 2021, Methods.

HN-CNN: A Heterogeneous Network Based on Convolutional Neural Network for m7 G Site Disease Association Prediction

Hui Liu, Lin Zhang, Jiani Ma, 2021, Frontiers in Genetics.

Bioinformatics approaches for deciphering the epitranscriptome: Recent progress and emerging topics

Xiujuan Lei, Yufei Huang, Jia Meng, 2020, Computational and structural biotechnology journal.

Viral and Cellular N6-Methyladenosine (m6A) and N6, 2′-O-Dimethyladenosine (m6Am) Epitranscriptomes in KSHV Life Cycle

Yufei Huang, Shaowu Zhang, Shou-Jiang Gao, 2017, Nature Microbiology.

EDLm6APred: ensemble deep learning approach for mRNA m6A site prediction

Xiuyu Li, Lin Zhang, Hui Liu, 2021, BMC Bioinformatics.

Unveiling the dynamics in RNA epigenetic regulations

Xiaodong Cui, Hui Liu, Yufei Huang, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

m6Acomet: large-scale functional prediction of individual m6A RNA methylation sites from an RNA co-methylation network

Qing Zhang, Hui Liu, Jionglong Su, 2019, BMC Bioinformatics.

Prediction of Online Psychological Help-Seeking Behavior During the COVID-19 Pandemic: An Interpretable Machine Learning Method

Zongkui Zhou, Lin Zhang, Zhihong Ren, 2022, Frontiers in Public Health.

SEMCM: A Self-Expressive Matrix Completion Model for Anti-cancer Drug Sensitivity Prediction

Jian Yu, Hui Liu, Lin Zhang, 2022, Current Bioinformatics.

Guitar2: An improved version of the Guitar for sketching the transcriptomic view of RNA-related biological features.

Hui Liu, Lin Zhang, Shutao Chen, 2022, Methods.

Anti-cancer Drug Response Prediction Using Neighbor-Based Collaborative Filtering with Global Effect Removal

Xing Chen, Lin Zhang, Yan Zhao, 2018, Molecular therapy. Nucleic acids.

MeT-DB: a database of transcriptome methylation in mammalian cells

Hui Liu, Yufei Huang, Yidong Chen, 2014, Nucleic Acids Res..

MeT-DB V2.0: Elucidating Context-Specific Functions of N6-Methyl-Adenosine Methyltranscriptome.

Hui Liu, Lin Zhang, Jia Meng, 2021, Methods in molecular biology.

Cancer Characteristic Gene Selection via Sample Learning Based on Deep Sparse Filtering

Lin Zhang, Jian Liu, Yuhu Cheng, 2018, Scientific Reports.

REW-ISA: unveiling local functional blocks in epi-transcriptome profiling data via an RNA expression-weighted iterative signature algorithm

Shutao Chen, Jia Meng, Lin Zhang, 2020, BMC Bioinformatics.

FGFICA: Independent Component Analysis of Fusion Genomic Features for Mining Epi-Transcriptome Profiling Data

Hui Liu, Lin Zhang, Shutao Chen, 2022, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

REW-ISA V2: A Biclustering Method Fusing Homologous Information for Analyzing and Mining Epi-Transcriptome Data

Hui Liu, Lin Zhang, Jiani Ma, 2021, Frontiers in Genetics.

BDBB: A Novel Beta-Distribution-Based Biclustering Algorithm for Revealing Local Co-Methylation Patterns in Epi-Transcriptome Profiling Data

Lin Zhang, Yuteng Xiao, Hongsheng Yin, 2021, IEEE Journal of Biomedical and Health Informatics.

FBCwPlaid: A Functional Biclustering Analysis of Epi-Transcriptome Profiling Data Via a Weighted Plaid Model

Hui Liu, Lin Zhang, Jia Meng, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

An Optimal Mean Based Block Robust Feature Extraction Method to Identify Colorectal Cancer Genes with Integrated Data

X. Wang, Yuhu Cheng, Hui Liu, 2017, Scientific Reports.

Activation of Nrf2 modulates protective immunity against Mycobacterium tuberculosis infection in THP1-derived macrophages.

Jie Zhou, Hongtao Wang, Z. Qian, 2022, Free radical biology & medicine.

MULGA, a unified multi-view graph autoencoder-based approach for identifying drug–protein interaction and drug repositioning

Shanshan Li, Hui Liu, Lin Zhang, 2023, Bioinform..

A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling

Yufei Huang, Shou-Jiang Gao, Yidong Chen, 2010, BMC Genomics.

trumpet: transcriptome-guided quality assessment of m6A-seq data

Teng Zhang, Jia Meng, Lin Zhang, 2018, BMC Bioinformatics.