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For: Liu Q, Hu P. Association Analysis of Deep Genomic Features Extracted by Denoising Autoencoders in Breast Cancer. Cancers (Basel) 2019;11:E494. [PMID: 30959966 DOI: 10.3390/cancers11040494] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Amjad E, Asnaashari S, Sokouti B, Dastmalchi S. Impact of Gene Biomarker Discovery Tools Based on Protein–Protein Interaction and Machine Learning on Performance of Artificial Intelligence Models in Predicting Clinical Stages of Breast Cancer. Interdiscip Sci Comput Life Sci 2020;12:476-86. [DOI: 10.1007/s12539-020-00390-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
2 Dai X, Lian X, Wang G, Shang J, Zhang L, Zhang Q, Lei H, Yan Y, Wang Y, Zou H. Mapping the amelogenin protein expression during porcine molar crown development. Ann Anat 2021;234:151665. [PMID: 33400984 DOI: 10.1016/j.aanat.2020.151665] [Reference Citation Analysis]
3 Nassif AB, Talib MA, Nasir Q, Afadar Y, Elgendy O. Breast cancer detection using artificial intelligence techniques: A systematic literature review. Artificial Intelligence in Medicine 2022. [DOI: 10.1016/j.artmed.2022.102276] [Reference Citation Analysis]
4 Macías-García L, Martínez-Ballesteros M, Luna-Romera JM, García-Heredia JM, García-Gutiérrez J, Riquelme-Santos JC. Autoencoded DNA methylation data to predict breast cancer recurrence: Machine learning models and gene-weight significance. Artif Intell Med 2020;110:101976. [PMID: 33250148 DOI: 10.1016/j.artmed.2020.101976] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
5 Hira MT, Razzaque MA, Angione C, Scrivens J, Sawan S, Sarker M. Integrated multi-omics analysis of ovarian cancer using variational autoencoders. Sci Rep 2021;11:6265. [PMID: 33737557 DOI: 10.1038/s41598-021-85285-4] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
6 Brenner C. Applications of Bioinformatics in Cancer. Cancers (Basel) 2019;11:E1630. [PMID: 31652939 DOI: 10.3390/cancers11111630] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
7 Li Z, Yang K, Zhang L, Wei C, Yang P, Xu W. Classification of Thyroid Nodules with Stacked Denoising Sparse Autoencoder. Int J Endocrinol 2020;2020:9015713. [PMID: 33488708 DOI: 10.1155/2020/9015713] [Reference Citation Analysis]