Jianing Xi

According to our database, Jianing Xi authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

An omics-to-omics joint knowledge association subtensor model for radiogenomics cross-modal modules from genomics and ultrasonic images of breast cancers.

Jianing Xi, Donghui Sun, Cai Chang, Shichong Zhou, Qinghua Huang

Comput. Biol. Medicine, March, 2023

Cancer omic data based explainable AI drug recommendation inference: A traceability perspective for explainability.

Jianing Xi, Dan Wang, Xuebing Yang, Wensheng Zhang, Qinghua Huang

Biomed. Signal Process. Control., 2023

Pathological Tissue-level Contour Genomic Profile Interpretation of Lung Adenocarcinoma via Spatial and Morphological Features Co-action Graph Neural Network.

Yu Yu, Wen Shi, Guoxi Xie, Jianing Xi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

LUR: An Online Learning Model for EEG Emotion Recognition.

Gang Cao, Liying Yang, Qian Zhang, Jianing Xi, Chengchuang Tang, Yang Tian

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Structure-aware siamese graph neural networks for encounter-level patient similarity learning.

Yifan Gu, Xuebing Yang, Lei Tian, Hongyu Yang, Jicheng Lv, Chao Yang, Jinwei Wang, Jianing Xi, Guilan Kong, Wensheng Zhang

J. Biomed. Informatics, 2022

Knowledge tensor embedding framework with association enhancement for breast ultrasound diagnosis of limited labeled samples.

Jianing Xi, Zhaoji Miao, Longzhong Liu, Xuebing Yang, Wensheng Zhang, Qinghua Huang, Xuelong Li

Neurocomputing, 2022

A parametric model for clustering single-cell mutation data.

Jiaqian Yan, Jianing Xi, Zhenhua Yu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

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

Xiguo Yuan, Jiaao Yu, Jianing Xi, Liying Yang, Junliang Shang, Zhe Li, Junbo Duan

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

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

Xiguo Yuan, Chao Ma, Haiyong Zhao, Liying Yang, Shuzhen Wang, Jianing Xi

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

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

Xiguo Yuan, Junping Li, Jun Bai, Jianing Xi

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

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

Jianing Xi, Liping Ye, Qinghua Huang, Xuelong Li

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

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

Tianyi Zhang, Minghui Wang, Jianing Xi, Ao Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Jianing Xi, Ao Li, Minghui Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Hang Wang, Jianing Xi, Minghui Wang, Ao Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

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

Fei Xie, Jianing Xi, Qun Duan

Complex., 2020

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

Jianing Xi, Xiguo Yuan, Minghui Wang, Ao Li, Xuelong Li, Qinghua Huang

Bioinform., 2020

2018

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

Jianing Xi, Ao Li, Minghui Wang

Neurocomputing, 2018

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

Jianing Xi, Minghui Wang, Ao Li

BMC Bioinform., 2018

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

Jianing Xi, Ao Li, Minghui Wang

Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017

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

Jianing Xi, Minghui Wang, Ao Li

PeerJ Comput. Sci., 2017

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

Xiaocheng Liu, Jianing Xi, Changran Zhang, Huanqing Feng, Ao Li, Minghui Wang

Proceedings of the 10th International Congress on Image and Signal Processing, 2017

2016

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

Jianing Xi, Ao Li

IEEE ACM Trans. Comput. Biol. Bioinform., 2016