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Cited by in F6Publishing
For: Lin C, Wang L, Shi L. AAPred-CNN: accurate predictor based on deep convolution neural network for identification of anti-angiogenic peptides. Methods 2022:S1046-2023(22)00010-X. [PMID: 35031486 DOI: 10.1016/j.ymeth.2022.01.004] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Li Y, Li X, Liu Y, Yao Y, Huang G. MPMABP: A CNN and Bi-LSTM-Based Method for Predicting Multi-Activities of Bioactive Peptides. Pharmaceuticals 2022;15:707. [DOI: 10.3390/ph15060707] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Jiang M, Zhang R, Xia Y, Jia G, Yin Y, Wang P, Wu J, Ge R. i2APP: A Two-Step Machine Learning Framework For Antiparasitic Peptides Identification. Front Genet 2022;13:884589. [DOI: 10.3389/fgene.2022.884589] [Reference Citation Analysis]