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Class-Imbalanced Graph Convolution Smoothing for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing, 2024, Vol.62, p.1-18

2024

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A feature-based approach to predict hot spots in protein–DNA binding interfaces

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.1038-1046

2020

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SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization

PLoS computational biology, 2021-07, Vol.17 (7), p.e1009165-e1009165

2021

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Comparison and integration of computational methods for deleterious synonymous mutation prediction

Briefings in bioinformatics, 2020-05, Vol.21 (3), p.970-981

2020

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iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework

BMC bioinformatics, 2022-11, Vol.23 (1), p.1-480, Article 480

2022

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Computational identification of deleterious synonymous variants in human genomes using a feature-based approach

BMC medical genomics, 2019-01, Vol.12 (Suppl 1), p.12-12, Article 12

2019

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An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation

IEEE transactions on circuits and systems for video technology, 2022-05, Vol.32 (5), p.2603-2611

2022

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Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

IEEE transaction on neural networks and learning systems, 2019-10, Vol.30 (10), p.2926-2937

2019

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Double matrix completion for circRNA-disease association prediction

BMC bioinformatics, 2021-06, Vol.22 (1), p.307-307, Article 307

2021

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iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction

PLoS computational biology, 2023-08, Vol.19 (8), p.e1011344-e1011344

2023

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Independent component analysis-based penalized discriminant method for tumor classification using gene expression data

Bioinformatics, 2006-08, Vol.22 (15), p.1855-1862

2006

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Locally linear discriminant embedding: An efficient method for face recognition

Pattern recognition, 2008-12, Vol.41 (12), p.3813-3821

2008

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NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

BMC bioinformatics, 2019-06, Vol.20 (1), p.353-353, Article 353

2019

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Identification of driver genes based on gene mutational effects and network centrality

BMC bioinformatics, 2021-09, Vol.22 (Suppl 3), p.1-457, Article 457

2021

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Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

BMC bioinformatics, 2020-10, Vol.21 (1), p.1-445, Article 445

2020

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epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

BioData mining, 2017-07, Vol.10 (1), p.23-23, Article 23

2017

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DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding

Briefings in bioinformatics, 2024-03, Vol.25 (3)

2024

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GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder

PLoS computational biology, 2021-12, Vol.17 (12), p.e1009655-e1009655

2021

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jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data

Bioinformatics (Oxford, England), 2015-02, Vol.31 (4), p.572-580

2015

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A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis

IEEE journal of biomedical and health informatics, 2023-05, Vol.27 (5), p.2575-2584

2023

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Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis

IEEE/ACM transactions on computational biology and bioinformatics, 2020-07, Vol.17 (4), p.1253-1261

2020

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RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

BMC bioinformatics, 2019-12, Vol.20 (Suppl 25), p.686-686, Article 686

2019

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Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data

IEEE/ACM transactions on computational biology and bioinformatics, 2017-09, Vol.14 (5), p.1115-1121

2017

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CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

BMC bioinformatics, 2016-05, Vol.17 (1), p.214-214, Article 214

2016

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MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features

BMC medical informatics and decision making, 2021-04, Vol.21 (Suppl 1), p.133-133, Article 133

2021

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Class-Imbalanced Graph Convolution Smoothing for Hyperspectral Image Classification

A feature-based approach to predict hot spots in protein–DNA binding interfaces

SCMFMDA: Predicting microRNA-disease associations based on similarity constrained matrix factorization

Comparison and integration of computational methods for deleterious synonymous mutation prediction

iEnhancer-DCLA: using the original sequence to identify enhancers and their strength based on a deep learning framework

Computational identification of deleterious synonymous variants in human genomes using a feature-based approach

An Ensemble Framework for Improving the Prediction of Deleterious Synonymous Mutation

Supervised Discriminative Sparse PCA for Com-Characteristic Gene Selection and Tumor Classification on Multiview Biological Data

Double matrix completion for circRNA-disease association prediction

iCircDA-NEAE: Accelerated attribute network embedding and dynamic convolutional autoencoder for circRNA-disease associations prediction

Independent component analysis-based penalized discriminant method for tumor classification using gene expression data

Locally linear discriminant embedding: An efficient method for face recognition

NPCMF: Nearest Profile-based Collaborative Matrix Factorization method for predicting miRNA-disease associations

Identification of driver genes based on gene mutational effects and network centrality

Correntropy induced loss based sparse robust graph regularized extreme learning machine for cancer classification

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

DeepFGRN: inference of gene regulatory network with regulation type based on directed graph embedding

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder

jNMFMA: a joint non-negative matrix factorization meta-analysis of transcriptomics data

A Personalized Low-Rank Subspace Clustering Method Based on Locality and Similarity Constraints for scRNA-seq Data Analysis

Introducing Heuristic Information Into Ant Colony Optimization Algorithm for Identifying Epistasis

RCMF: a robust collaborative matrix factorization method to predict miRNA-disease associations

Cancer Subtype Discovery Based on Integrative Model of Multigenomic Data

CINOEDV: a co-information based method for detecting and visualizing n-order epistatic interactions

MiRNA-disease association prediction via hypergraph learning based on high-dimensionality features

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