Liu Jin-Xing - Citegraph

Author Info

Name	Affiliation	Papers
LIU JIN-XING	Bio-Computing Research Center, Shenzhen Graduate School, Harbin Institute of Technology, Shenzhen, China; College of Information and Communication Technology, Qufu Normal University, Rizhao, China	45
Collaborators	Citations	PageRank
74	40	16.11
Referers	Referees	References
107	893	379

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100893

Publications (45 rows)

Collaborators (74 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Single-Cell RNA Sequencing Data Clustering by Low-Rank Subspace Ensemble Framework	2	0.38	2022
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation	0	0.34	2022
NCPLP: A Novel Approach for Predicting Microbe-Associated Diseases With Network Consistency Projection and Label Propagation	0	0.34	2022
Sparse Robust Graph-Regularized Non-Negative Matrix Factorization Based On Correntropy	0	0.34	2021
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores	0	0.34	2021
Robust Graph Regularized Extreme Learning Machine Auto Encoder and Its Application to Single-Cell Samples Classification.	0	0.34	2020
A Multi-View Classification And Feature Selection Method Via Sparse Low-Rank Regression Analysis	0	0.34	2020
Essential Proteins Identification Based on Integrated Network.	0	0.34	2020
Block-Constraint Laplacian-Regularized Low-Rank Representation and Its Application for Cancer Sample Clustering Based on Integrated TCGA Data	0	0.34	2020
L-2,L-1-Extreme Learning Machine: An Efficient Robust Classifier For Tumor Classification	0	0.34	2020
Dual Graph-Laplacian PCA: A Closed-Form Solution for Bi-clustering to Find "Checkerboard" Structures on Gene Expression Data.	0	0.34	2019
Nipmi: A Network Method Based On Interaction Part Mutual Information To Detect Characteristic Genes From Integrated Data On Multi-Cancers	0	0.34	2019
Dual Graph-Laplacian Pca: A Closed-Form Solution For Bi-Clustering To Find Checkerboard Structures On Gene Expression Data	0	0.34	2019
HC-HDSD: A method of hypergraph construction and high-density subgraph detection for inferring high-order epistatic interactions.	0	0.34	2019
Network analysis based on low-rank method for mining information on integrated data of multi-cancers.	0	0.34	2019
Integrative graph regularized matrix factorization for drug-pathway associations analysis.	0	0.34	2019
A Review of Ant Colony Optimization Based Methods for Detecting Epistatic Interactions.	0	0.34	2019
Differentially Expressed Genes Extracted by the Tensor Robust Principal Component Analysis (TRPCA) Method	0	0.34	2019
Laplacian regularized low-rank representation for cancer samples clustering.	1	0.35	2019
Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data	4	0.40	2019
Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey	1	0.35	2018
Robust Nonnegative Matrix Factorization via Joint Graph Laplacian and Discriminative Information for Identifying Differentially Expressed Genes.	3	0.41	2017
Identifying drug-pathway association pairs based on L2, 1-integrative penalized matrix decomposition.	0	0.34	2017
Low-rank representation regularized by L2, 1-norm for identifying differentially expressed genes.	0	0.34	2017
epiACO - a method for identifying epistasis based on ant Colony optimization algorithm.	4	0.43	2017
A Novel Low-Rank Representation Method For Identifying Differentially Expressed Genes	0	0.34	2017
A joint-L2,1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis	2	0.39	2017
A compressed sensing based two-stage method for detecting epistatic interactions	0	0.34	2016
Characteristic gene selection based on robust graph regularized non-negative matrix factorization	2	0.37	2016
Differentially expressed genes selection via Laplacian regularized low-rank representation method.	3	0.37	2016
Gene extraction based on sparse singular value decomposition	0	0.34	2016
A simple review of sparse principal components analysis	0	0.34	2016
An adaptive weighted degree kernel to predict the splice site	0	0.34	2016
Characteristic Gene Selection via L2,1-norm Sparse Principal Component Analysis	0	0.34	2016
CINOEDV: A co-information based method for detecting and visualizing n-order epistatic interactions	3	0.42	2016
Comparison of non-negative matrix factorization methods for clustering genomic data	1	0.36	2016
A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data	4	0.43	2016
An improved denoising method based on wavelet transform for processing bases sequence images	0	0.34	2015
Hypergraph Supervised Search for Inferring Multiple Epistatic Interactions with Different Orders.	0	0.34	2015
Semi-supervised feature extraction for RNA-seq data analysis	0	0.34	2015
Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes.	0	0.34	2015
A Two-Stage Sparse Selection Method for Extracting Characteristic Genes.	0	0.34	2015
Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.	1	0.36	2015
Identifying characteristic genes based on robust principal component analysis	0	0.34	2012
Extracting plants core genes responding to abiotic stresses by penalized matrix decomposition	9	0.63	2012