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Ji, Cun-Mei
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1

scGCC: Graph Contrastive Clustering With Neighborhood Augme..:

Tian, Sheng-Wen ; Ni, Jian-Cheng ; Wang, Yu-Tian..
IEEE Journal of Biomedical and Health Informatics.  27 (2023)  12 - p. 6133-6143 , 2023
Link: https://doi.org/10.1109/..
 
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2

Convolution Neural Networks Using Deep Matrix Factorization..:

Liu, Zhi-Hao ; Ji, Cun-Mei ; Ni, Jian-Cheng...
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  20 (2023)  1 - p. 277-284 , 2023
Link: https://doi.org/10.1109/..
 
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3

Potential circRNA-Disease Association Prediction Using Deep..:

Qiao, Li-Juan ; Gao, Zhen ; Ji, Cun-Mei...
IEEE/ACM Transactions on Computational Biology and Bioinformatics.  20 (2023)  5 - p. 3154-3162 , 2023
Link: https://doi.org/10.1109/..
 
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4

GCNMFCDA: A Method Based on Graph Convolutional Network and..:

, In: Intelligent Computing Theories and Application; Lecture Notes in Computer Science,
Wang, Dian-Xiao ; Ji, Cun-Mei ; Wang, Yu-Tian... - p. 166-180 , 2022
Link: https://doi.org/10.1007/..
 
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5

A Unified Graph Attention Network Based Framework for Infer..:

, In: Intelligent Computing Methodologies; Lecture Notes in Computer Science,
Ji, Cun-Mei ; Liu, Zhi-Hao ; Qiao, Li-Juan.. - p. 639-653 , 2022
Link: https://doi.org/10.1007/..
 
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6

Cell Classification Based on Stacked Autoencoder for Single..:

, In: Intelligent Computing Theories and Application; Lecture Notes in Computer Science,
Qi, Rong ; Zheng, Chun-Hou ; Ji, Cun-Mei... - p. 245-259 , 2022
Link: https://doi.org/10.1007/..
 
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7

ICNNMDA: An Improved Convolutional Neural Network for Predi..:

, In: Intelligent Computing Theories and Application; Lecture Notes in Computer Science,
Ni, Rui-Kang ; Gao, Zhen ; Ji, Cun-Mei - p. 445-457 , 2021
Link: https://doi.org/10.1007/..
 
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8

ILPMDA: Predicting miRNA–Disease Association Based on Impro..:

Wang, Yu-Tian ; Li, Lei ; Ji, Cun-Mei..
Frontiers in Genetics.  12 (2021)  - p. , 2021
Link: https://doi.org/10.3389/..
 
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9

GCAEMDA: Predicting miRNA-disease associations via graph co..:

Li, Lei ; Wang, Yu-Tian ; Ji, Cun-Mei...
PLOS Computational Biology.  17 (2021)  12 - p. e1009655 , 2021
Link: https://doi.org/10.1371/..
 
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10

ILPMDA: Predicting miRNA–Disease Association Based on Impro..:

Wang, Yu-Tian ; Li, Lei ; Ji, Cun-Mei..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8514753/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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11

GCAEMDA: Predicting miRNA-disease associations via graph co..:

Lei Li ; Yu-Tian Wang ; Cun-Mei Ji...
https://doi.org/10.1371/journal.pcbi.1009655.  , 2021
Link: https://doi.org/10.1371/..
 
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12

ILPMDA: Predicting miRNA–Disease Association Based on Impro..:

Yu-Tian Wang ; Lei Li ; Cun-Mei Ji..
https://www.frontiersin.org/articles/10.3389/fgene.2021.743665/full.  , 2021
Link: https://doi.org/10.3389/..
 
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13

Fig 1 -:

Lei Li (29537) ; Yu-Tian Wang (8204481) ; Cun-Mei Ji (11824835)...
https://figshare.com/articles/figure/Fig_1_-/17160815.  , 2021
Link: https://doi.org/10.1371/..
 
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14

Names of 591 diseases involved in known human miRNA-disease..:

Lei Li (29537) ; Yu-Tian Wang (8204481) ; Cun-Mei Ji (11824835)...
https://figshare.com/articles/dataset/Names_of_591_diseases_involved_in_known_human_miRNA-disease_associations_obtained_from_HMDD_v3_2_database_/17160797.  , 2021
Link: https://doi.org/10.1371/..
 
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15

The top 50 potential miRNAs associated with lung neoplasms:

Lei Li (29537) ; Yu-Tian Wang (8204481) ; Cun-Mei Ji (11824835)...
https://figshare.com/articles/dataset/The_top_50_potential_miRNAs_associated_with_lung_neoplasms_/17160860.  , 2021
Link: https://doi.org/10.1371/..
 
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