Jianing Xi

发表

CNV_IFTV: An Isolation Forest and Total Variation-Based Detection of CNVs from Short-Read Sequencing Data

Liying Yang, Zhe Li, Junbo Duan, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

PTM-ssMP: A Web Server for Predicting Different Types of Post-translational Modification Sites Using Novel Site-specific Modification Profile

Yu Liu, Ao Li, Minghui Wang, 2018, International journal of biological sciences.

Discovering Recurrent Copy Number Aberrations in Complex Patterns via Non-Negative Sparse Singular Value Decomposition

Ao Li, Jianing Xi, Ao Li, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A Local Outlier Factor-Based Detection of Copy Number Variations From NGS Data

Jun Bai, Xiguo Yuan, Jianing Xi, 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Identification of driver network modules in protein-protein interaction network using patient mutation profiles

Ao Li, Minghui Wang, Xiaocheng Liu, 2017, 2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI).

Discovering mutated driver genes through a robust and sparse co-regularized matrix factorization framework with prior information from mRNA expression patterns and interaction network

Ao Li, Minghui Wang, Jianing Xi, 2018, BMC Bioinformatics.

Dual-Layer Strengthened Collaborative Topic Regression Modeling for Predicting Drug Sensitivity

Ao Li, Jianing Xi, Hang Wang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Inferring subgroup-specific driver genes from heterogeneous cancer samples via subspace learning with subgroup indication

Xuelong Li, Qinghua Huang, Ao Li, 2019, Bioinform..

A novel unsupervised learning model for detecting driver genes from pan-cancer data through matrix tri-factorization framework with pairwise similarities constraints

Ao Li, Minghui Wang, Jianing Xi, 2018, Neurocomputing.

Driver Attribute Filling for Genes in Interaction Network via Modularity Subspace-Based Concept Learning from Small Samples

Fei Xie, Jianing Xi, Qun Duan, 2020, Complex..

LPGNMF: Predicting Long Non-Coding RNA and Protein Interaction Using Graph Regularized Nonnegative Matrix Factorization

Ao Li, Minghui Wang, Tianyi Zhang, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

HetRCNA: A Novel Method to Identify Recurrent Copy Number Alternations from Heterogeneous Tumor Samples Based on Matrix Decomposition Framework

Ao Li, Minghui Wang, Jianing Xi, 2020, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

DGPathinter: a novel model for identifying driver genes via knowledge-driven matrix factorization with prior knowledge from interactome and pathways

Ao Li, Minghui Wang, Jianing Xi, 2017, PeerJ Comput. Sci..

An efficient nonnegative matrix factorization model for finding cancer associated genes by integrating data from genome, transcriptome and interactome

Ao Li, Minghui Wang, Jianing Xi, 2018, 2018 52nd Annual Conference on Information Sciences and Systems (CISS).

A novel heterogeneous network-based method for drug response prediction in cancer cell lines

Ao Li, Minghui Wang, Fei Zhang, 2018, Scientific Reports.

Tolerating Data Missing in Breast Cancer Diagnosis from Clinical Ultrasound Reports via Knowledge Graph Inference

Qinghua Huang, Jianing Xi, Liping Ye, 2021, KDD.

STIC: Predicting Single Nucleotide Variants and Tumor Purity in Cancer Genome

Xiguo Yuan, Jianing Xi, Chao Ma, 2021, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A novel network regularized matrix decomposition method to detect mutated cancer genes in tumour samples with inter-patient heterogeneity

Ao Li, Jianing Xi, Minghui Wang, 2017, Scientific Reports.

Stratification of Breast Cancer by Integrating Gene Expression Data and Clinical Variables

Xiguo Yuan, Jianing Xi, Zhaowen Liu, 2019, Molecules.

Discovering potential driver genes through an integrated model of somatic mutation profiles and gene functional information.

Ao Li, Jianing Xi, Minghui Wang, 2017, Molecular bioSystems.