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For: Li F, Zhou Y, Zhang Y, Yin J, Qiu Y, Gao J, Zhu F. POSREG: proteomic signature discovered by simultaneously optimizing its reproducibility and generalizability. Brief Bioinform 2022:bbac040. [PMID: 35183059 DOI: 10.1093/bib/bbac040] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 25.0] [Reference Citation Analysis]
Number Citing Articles
1 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. Computers in Biology and Medicine 2022;151:106234. [DOI: 10.1016/j.compbiomed.2022.106234] [Reference Citation Analysis]
2 Xiao Z, Wang L, Ding Y, Yu L. iEnhancer-MRBF: Identifying enhancers and their strength with a multiple Laplacian-regularized radial basis function network. Methods 2022;208:1-8. [DOI: 10.1016/j.ymeth.2022.10.001] [Reference Citation Analysis]
3 Mou M, Pan Z, Lu M, Sun H, Wang Y, Luo Y, Zhu F. Application of Machine Learning in Spatial Proteomics. J Chem Inf Model 2022. [DOI: 10.1021/acs.jcim.2c01161] [Reference Citation Analysis]
4 Xiang J, Wang X, Wang X, Zhang J, Yang S, Yang W, Han X, Liu Y. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106340] [Reference Citation Analysis]
5 Lin Z, He Y, Qiu C, Yu Q, Huang H, Yiwen Zhang, Li W, Qiu T, Xiaoping Li. A multi-omics signature to predict the prognosis of invasive ductal carcinoma of the breast. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106291] [Reference Citation Analysis]
6 Shih M, Lee J, Cheng S, Lawal B, Ho C, Wu C, Tzeng DT, Chen J, Wu AT. Transcriptomic discovery of a theranostic signature (SERPINE1/MMP3/COL1A1/SPP1) for head and neck squamous cell carcinomas and identification of antrocinol as a candidate drug. Computers in Biology and Medicine 2022;150:106185. [DOI: 10.1016/j.compbiomed.2022.106185] [Reference Citation Analysis]
7 Zhao Y, Zhang L, Hu Q, Zhu D, Xie Z. Identification and analysis of C17orf53 as a prognostic signature for hepatocellular carcinoma. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106348] [Reference Citation Analysis]
8 Liu C, Zhou Y, Zhou Y, Tang X, Tang L, Wang J. Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106388] [Reference Citation Analysis]
9 Yang Q, Li B, Wang P, Xie J, Feng Y, Liu Z, Zhu F. LargeMetabo: an out-of-the-box tool for processing and analyzing large-scale metabolomic data. Briefings in Bioinformatics 2022. [DOI: 10.1093/bib/bbac455] [Reference Citation Analysis]
10 Sun X, Zhang Y, Li H, Zhou Y, Shi S, Chen Z, He X, Zhang H, Li F, Yin J, Mou M, Wang Y, Qiu Y, Zhu F. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Res 2022:gkac812. [PMID: 36243960 DOI: 10.1093/nar/gkac812] [Reference Citation Analysis]
11 Li F, Yin J, Lu M, Mou M, Li Z, Zeng Z, Tan Y, Wang S, Chu X, Dai H, Hou T, Zeng S, Chen Y, Zhu F. DrugMAP: molecular atlas and pharma-information of all drugs. Nucleic Acids Res 2022:gkac813. [PMID: 36243961 DOI: 10.1093/nar/gkac813] [Reference Citation Analysis]
12 Amahong K, Zhang W, Zhou Y, Zhang S, Yin J, Li F, Xu H, Yan T, Yue Z, Liu Y, Hou T, Qiu Y, Tao L, Han L, Zhu F. CovInter: interaction data between coronavirus RNAs and host proteins. Nucleic Acids Res 2022:gkac834. [PMID: 36200814 DOI: 10.1093/nar/gkac834] [Reference Citation Analysis]
13 Ni Y, He J, Chalise P. Integration of differential expression and network structure for 'omics data analysis. Comput Biol Med 2022;150:106133. [PMID: 36179515 DOI: 10.1016/j.compbiomed.2022.106133] [Reference Citation Analysis]
14 Liu S, Chen L, Zhang Y, Zhou Y, He Y, Chen Z, Qi S, Zhu J, Chen X, Zhang H, Luo Y, Qiu Y, Tao L, Zhu F. M6AREG: m6A-centered regulation of disease development and drug response. Nucleic Acids Res 2022:gkac801. [PMID: 36134713 DOI: 10.1093/nar/gkac801] [Reference Citation Analysis]
15 Rong Z, Liu Z, Song J, Cao L, Yu Y, Qiu M, Hou Y. MCluster-VAEs: An end-to-end variational deep learning-based clustering method for subtype discovery using multi-omics data. Comput Biol Med 2022;150:106085. [PMID: 36162197 DOI: 10.1016/j.compbiomed.2022.106085] [Reference Citation Analysis]
16 Yang Q, Li Y, Li B, Gong Y. A novel multi-class classification model for schizophrenia, bipolar disorder and healthy controls using comprehensive transcriptomic data. Comput Biol Med 2022;148:105956. [PMID: 35981456 DOI: 10.1016/j.compbiomed.2022.105956] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
17 Chen M, Xu C, Xu Z, He W, Zhang H, Su J, Song Q. Uncovering the dynamic effects of DEX treatment on lung cancer by integrating bioinformatic inference and multiscale modeling of scRNA-seq and proteomics data. Comput Biol Med 2022;149:105999. [PMID: 35998480 DOI: 10.1016/j.compbiomed.2022.105999] [Reference Citation Analysis]
18 Zhang T, Lin Y, He W, Yuan F, Zeng Y, Zhang S. GCN-GENE: A novel method for prediction of coronary heart disease-related genes. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105918] [Reference Citation Analysis]
19 Yadav DK, Sharma A, Dube P, Shaikh S, Vaghasia H, Rawal RM. Identification of crucial hub genes and potential molecular mechanisms in breast cancer by integrated bioinformatics analysis and experimental validation. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106036] [Reference Citation Analysis]
20 deAndrés-Galiana EJ, Fernández-martínez JL, Álvarez-machancoses Ó, Bea G, Galmarini CM, Kloczkowski A. Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106029] [Reference Citation Analysis]
21 Zhang S, Sun X, Mou M, Amahong K, Sun H, Zhang W, Shi S, Li Z, Gao J, Zhu F. REGLIV: Molecular regulation data of diverse living systems facilitating current multiomics research. Comput Biol Med 2022;148:105825. [PMID: 35872412 DOI: 10.1016/j.compbiomed.2022.105825] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
22 Fan R, Suo B, Ding Y. Identification of Vesicle Transport Proteins via Hypergraph Regularized K-Local Hyperplane Distance Nearest Neighbour Model. Front Genet 2022;13:960388. [DOI: 10.3389/fgene.2022.960388] [Reference Citation Analysis]
23 Hua Y, Wang H, Ye Z, Zheng D, Zhang X. An integrated pan-cancer analysis of identifying biomarkers about the EGR family genes in human carcinomas. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105889] [Reference Citation Analysis]
24 Peng X, Wang X, Guo Y, Ge Z, Li F, Gao X, Song J. RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins. Brief Bioinform 2022:bbac215. [PMID: 35649392 DOI: 10.1093/bib/bbac215] [Reference Citation Analysis]
25 Zhang C, Mou M, Zhou Y, Zhang W, Lian X, Shi S, Lu M, Sun H, Li F, Wang Y, Zeng Z, Li Z, Zhang B, Qiu Y, Zhu F, Gao J. Biological activities of drug inactive ingredients. Brief Bioinform 2022:bbac160. [PMID: 35524477 DOI: 10.1093/bib/bbac160] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
26 Xia W, Zheng L, Fang J, Li F, Zhou Y, Zeng Z, Zhang B, Li Z, Li H, Zhu F. PFmulDL: a novel strategy enabling multi-class and multi-label protein function annotation by integrating diverse deep learning methods. Comput Biol Med 2022;145:105465. [PMID: 35366467 DOI: 10.1016/j.compbiomed.2022.105465] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 12.0] [Reference Citation Analysis]