Cited In for PMID: 24194601

Year	Number of Results
2013	1
2014	5
2015	18
2016	39
2017	39
2018	81
2019	62
2020	46
2021	33
2022	35
2023	16
2024	24
2025	6

1

HMDD v2.0: a database for experimentally supported human microRNA and disease associations.

Li Y, Qiu C, Tu J, Geng B, Yang J, Jiang T, Cui Q. Li Y, et al. Nucleic Acids Res. 2014 Jan;42(Database issue):D1070-4. doi: 10.1093/nar/gkt1023. Epub 2013 Nov 4. Nucleic Acids Res. 2014. PMID: 24194601 Free PMC article.

2

Identifying potential microRNA biomarkers for colon cancer and colorectal cancer through bound nuclear norm regularization.

Zhai S, Li X, Wu Y, Shi X, Ji B, Qiu C. Zhai S, et al. Front Genet. 2022 Sep 22;13:980437. doi: 10.3389/fgene.2022.980437. eCollection 2022. Front Genet. 2022. PMID: 36313468 Free PMC article.

3

SPLHRNMTF: robust orthogonal non-negative matrix tri-factorization with self-paced learning and dual hypergraph regularization for predicting miRNA-disease associations.

Ouyang D, Miao R, Zeng J, Li X, Ai N, Wang P, Hou J, Zheng J. Ouyang D, et al. BMC Genomics. 2024 Sep 20;25(1):885. doi: 10.1186/s12864-024-10729-w. BMC Genomics. 2024. PMID: 39304826 Free PMC article.

4

MCCMF: collaborative matrix factorization based on matrix completion for predicting miRNA-disease associations.

Wu TR, Yin MM, Jiao CN, Gao YL, Kong XZ, Liu JX. Wu TR, et al. BMC Bioinformatics. 2020 Oct 14;21(1):454. doi: 10.1186/s12859-020-03799-6. BMC Bioinformatics. 2020. PMID: 33054708 Free PMC article.

5

Predict potential miRNA-disease associations based on bounded nuclear norm regularization.

Rao Y, Xie M, Wang H. Rao Y, et al. Front Genet. 2022 Aug 22;13:978975. doi: 10.3389/fgene.2022.978975. eCollection 2022. Front Genet. 2022. PMID: 36072658 Free PMC article.

6

Predicting Disease Related microRNA Based on Similarity and Topology.

Chen Z, Wang X, Gao P, Liu H, Song B. Chen Z, et al. Cells. 2019 Nov 7;8(11):1405. doi: 10.3390/cells8111405. Cells. 2019. PMID: 31703479 Free PMC article.

7

Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease Associations.

Xuan P, Pan S, Zhang T, Liu Y, Sun H. Xuan P, et al. Cells. 2019 Aug 30;8(9):1012. doi: 10.3390/cells8091012. Cells. 2019. PMID: 31480350 Free PMC article.

8

Identifying SM-miRNA associations based on layer attention graph convolutional network and matrix decomposition.

Ni J, Cheng X, Ni T, Liang J. Ni J, et al. Front Mol Biosci. 2022 Nov 23;9:1009099. doi: 10.3389/fmolb.2022.1009099. eCollection 2022. Front Mol Biosci. 2022. PMID: 36504714 Free PMC article.

9

A Novel Computational Method for the Identification of Potential miRNA-Disease Association Based on Symmetric Non-negative Matrix Factorization and Kronecker Regularized Least Square.

Zhao Y, Chen X, Yin J. Zhao Y, et al. Front Genet. 2018 Aug 21;9:324. doi: 10.3389/fgene.2018.00324. eCollection 2018. Front Genet. 2018. PMID: 30186308 Free PMC article.

10

A heterogeneous label propagation approach to explore the potential associations between miRNA and disease.

Chen X, Zhang DH, You ZH. Chen X, et al. J Transl Med. 2018 Dec 11;16(1):348. doi: 10.1186/s12967-018-1722-1. J Transl Med. 2018. PMID: 30537965 Free PMC article.

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Cited In for PMID: 24194601

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