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For: Mo F, Luo Y, Fan D, Zeng H, Zhao Y, Luo M, Liu X, Ma X. Integrated Analysis of mRNA-seq and miRNA-seq to Identify c-MYC, YAP1 and miR-3960 as Major Players in the Anticancer Effects of Caffeic Acid Phenethyl Ester in Human Small Cell Lung Cancer Cell Line. Curr Gene Ther 2020;20:15-24. [PMID: 32445454 DOI: 10.2174/1566523220666200523165159] [Cited by in Crossref: 31] [Cited by in F6Publishing: 30] [Article Influence: 15.5] [Reference Citation Analysis]
Number Citing Articles
1 Pandey P, Khan F, Upadhyay TK, Giri PP. Therapeutic efficacy of caffeic acid phenethyl ester in cancer therapy: An updated review. Chem Biol Drug Des 2023. [PMID: 36929632 DOI: 10.1111/cbdd.14233] [Reference Citation Analysis]
2 Tang H, Sun L, Huang J, Yang Z, Li C, Zhou X. The mechanism and biomarker function of Cavin-2 in lung ischemia-reperfusion injury. Comput Biol Med 2022;151:106234. [PMID: 36335812 DOI: 10.1016/j.compbiomed.2022.106234] [Reference Citation Analysis]
3 Yao Y, Lv Y, Tong L, Liang Y, Xi S, Ji B, Zhang G, Li L, Tian G, Tang M, Hu X, Li S, Yang J. ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data. Brief Bioinform 2022;23:bbac448. [PMID: 36242564 DOI: 10.1093/bib/bbac448] [Reference Citation Analysis]
4 Wu J, Yang D. Pancreatic Cancer-Derived Exosomes Promote the Proliferation, Invasion, and Metastasis of Pancreatic Cancer by the miR-3960/TFAP2A Axis. Journal of Oncology 2022;2022:1-18. [DOI: 10.1155/2022/3590326] [Reference Citation Analysis]
5 Peng C, Wang G, Wang Y, Tang M, Ma X, Chang X, Guo J, Gui S. Thermosensitive acetylated carboxymethyl chitosan gel depot systems sustained release caffeic acid phenethyl ester for periodontitis treatment. Polymers for Advanced Techs. [DOI: 10.1002/pat.5874] [Reference Citation Analysis]
6 Li W, Liu B, Wang W, Sun C, Che J, Yuan X, Zhai C, Tang M. Lung Cancer Stage Prediction Using Multi-Omics Data. Computational and Mathematical Methods in Medicine 2022;2022:1-10. [DOI: 10.1155/2022/2279044] [Reference Citation Analysis]
7 Wang S, Xu D, Gao B, Yan S, Sun Y, Tang X, Jiao Y, Huang S, Zhang S. Heterogeneity Analysis of Bladder Cancer Based on DNA Methylation Molecular Profiling. Front Oncol 2022;12:915542. [DOI: 10.3389/fonc.2022.915542] [Reference Citation Analysis]
8 Xu H, Hu X, Yan X, Zhong W, Yin D, Gai Y. Exploring noncoding RNAs in thyroid cancer using a graph convolutional network approach. Computers in Biology and Medicine 2022;145:105447. [DOI: 10.1016/j.compbiomed.2022.105447] [Reference Citation Analysis]
9 Zhou J, Dong S, Wang P, Su X, Cheng L. Identification of Nine mRNA Signatures for Sepsis Using Random Forest. Comput Math Methods Med 2022;2022:5650024. [PMID: 35345523 DOI: 10.1155/2022/5650024] [Reference Citation Analysis]
10 Ma Q. Online Diagnosis and Classification of CT Images Collected by Internet of Things Using Deep Learning. Comput Math Methods Med 2022;2022:5373624. [PMID: 35345522 DOI: 10.1155/2022/5373624] [Reference Citation Analysis]
11 Zhao S, Ding Y, Liu X, Su X. HKAM-MKM: A hybrid kernel alignment maximization-based multiple kernel model for identifying DNA-binding proteins. Comput Biol Med 2022;145:105395. [PMID: 35334314 DOI: 10.1016/j.compbiomed.2022.105395] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Zhang S, Zhang J, Zhang Q, Liang Y, Du Y, Wang G. Identification of Prognostic Biomarkers for Bladder Cancer Based on DNA Methylation Profile. Front Cell Dev Biol 2022;9:817086. [DOI: 10.3389/fcell.2021.817086] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
13 Han K, Cao P, Wang Y, Xie F, Ma J, Yu M, Wang J, Xu Y, Zhang Y, Wan J. A Review of Approaches for Predicting Drug–Drug Interactions Based on Machine Learning. Front Pharmacol 2022;12:814858. [DOI: 10.3389/fphar.2021.814858] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
14 Ma D, Chen Z, He Z, Huang X. A SNARE Protein Identification Method Based on iLearnPlus to Efficiently Solve the Data Imbalance Problem. Front Genet 2022;12:818841. [DOI: 10.3389/fgene.2021.818841] [Reference Citation Analysis]
15 Zulfiqar H, Huang QL, Lv H, Sun ZJ, Dao FY, Lin H. Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique. Int J Mol Sci 2022;23:1251. [PMID: 35163174 DOI: 10.3390/ijms23031251] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
16 Zhai Y, Zhang J, Zhang T, Gong Y, Zhang Z, Zhang D, Zhao Y. AOPM: Application of Antioxidant Protein Classification Model in Predicting the Composition of Antioxidant Drugs. Front Pharmacol 2022;12:818115. [DOI: 10.3389/fphar.2021.818115] [Reference Citation Analysis]
17 Liu M, Chen H, Gao D, Ma C, Zhang Z, Manavalan B. Identification of Helicobacter pylori Membrane Proteins Using Sequence-Based Features. Computational and Mathematical Methods in Medicine 2022;2022:1-7. [DOI: 10.1155/2022/7493834] [Reference Citation Analysis]
18 Goker Bagca B, Biray Avci C. Epigenetic Regulation of Cancer by Natural Touch: Phytochemicals and Epigenetic Regulation. Interdisciplinary Cancer Research 2022. [DOI: 10.1007/16833_2022_44] [Reference Citation Analysis]
19 Chen Y, Juan L, Lv X, Shi L. Bioinformatics Research on Drug Sensitivity Prediction. Front Pharmacol 2021;12:799712. [PMID: 34955863 DOI: 10.3389/fphar.2021.799712] [Reference Citation Analysis]
20 Zhang Y, Kong D, Han H, Cao Y, Zhu H, Cui G. Caffeic acid phenethyl ester protects against doxorubicin-induced cardiotoxicity and increases chemotherapeutic efficacy by regulating the unfolded protein response. Food Chem Toxicol 2022;159:112770. [PMID: 34915066 DOI: 10.1016/j.fct.2021.112770] [Reference Citation Analysis]
21 Sun X, Guo Y, Zhang Y, Zhao P, Wang Z, Wei Z, Qiao H. Colon Cancer-Related Genes Identification and Function Study Based on Single-Cell Multi-Omics Integration. Front Cell Dev Biol 2021;9:789587. [PMID: 34901030 DOI: 10.3389/fcell.2021.789587] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
22 [DOI: 10.1109/bibm52615.2021.9669472] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
23 Zhang H, Xu R, Ding M, Zhang Y. Prediction of Gastric Cancer-Related Proteins Based on Graph Fusion Method. Front Cell Dev Biol 2021;9:739715. [PMID: 34790662 DOI: 10.3389/fcell.2021.739715] [Reference Citation Analysis]
24 Xu H, Zhao B, Zhong W, Teng P, Qiao H. Identification of miRNA Signature Associated With Erectile Dysfunction in Type 2 Diabetes Mellitus by Support Vector Machine-Recursive Feature Elimination. Front Genet 2021;12:762136. [PMID: 34707644 DOI: 10.3389/fgene.2021.762136] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
25 Sheng X, Zhu Y, Zhou J, Yan, Du G, Liu Z, Chen H. Antioxidant Effects of Caffeic Acid Lead to Protection of Drosophila Intestinal Stem Cell Aging. Front Cell Dev Biol 2021;9:735483. [PMID: 34568344 DOI: 10.3389/fcell.2021.735483] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 3.5] [Reference Citation Analysis]
26 Pandey M, Mukhopadhyay A, Sharawat SK, Kumar S. Role of microRNAs in regulating cell proliferation, metastasis and chemoresistance and their applications as cancer biomarkers in small cell lung cancer. Biochim Biophys Acta Rev Cancer 2021;1876:188552. [PMID: 33892053 DOI: 10.1016/j.bbcan.2021.188552] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 6.5] [Reference Citation Analysis]
27 Jia XB, He ZY. Gene Therapy (Part I). Curr Gene Ther 2020;20:4. [PMID: 32603275 DOI: 10.2174/156652322001200604150311] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]