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For: Zhang YH, Li H, Zeng T, Chen L, Li Z, Huang T, Cai YD. Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection. Front Cell Dev Biol 2020;8:627302. [PMID: 33505977 DOI: 10.3389/fcell.2020.627302] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 12.0] [Reference Citation Analysis]
Number Citing Articles
1 Khalid Z, Huan M, Sohail Raza M, Abbas M, Naz Z, Kombe Kombe AJ, Zeng W, He H, Jin T. Identification of Novel Therapeutic Candidates Against SARS-CoV-2 Infections: An Application of RNA Sequencing Toward mRNA Based Nanotherapeutics. Front Microbiol 2022;13:901848. [DOI: 10.3389/fmicb.2022.901848] [Reference Citation Analysis]
2 Li H, Huang F, Liao H, Li Z, Feng K, Huang T, Cai Y. Identification of COVID-19-Specific Immune Markers Using a Machine Learning Method. Front Mol Biosci 2022;9:952626. [DOI: 10.3389/fmolb.2022.952626] [Reference Citation Analysis]
3 Li Z, Wang D, Guo W, Zhang S, Chen L, Zhang Y, Lu L, Pan X, Huang T, Cai Y. Identification of cortical interneuron cell markers in mouse embryos based on machine learning analysis of single-cell transcriptomics. Front Neurosci 2022;16:841145. [DOI: 10.3389/fnins.2022.841145] [Reference Citation Analysis]
4 Zhang YH, Li ZD, Zeng T, Chen L, Huang T, Cai YD. Screening gene signatures for clinical response subtypes of lung transplantation. Mol Genet Genomics 2022. [PMID: 35780439 DOI: 10.1007/s00438-022-01918-x] [Reference Citation Analysis]
5 Rodrigues P, Costa RS, Henriques R. Enrichment analysis on regulatory subspaces: A novel direction for the superior description of cellular responses to SARS-CoV-2. Computers in Biology and Medicine 2022;146:105443. [DOI: 10.1016/j.compbiomed.2022.105443] [Reference Citation Analysis]
6 Odacı H, Kaya F, Aydın F. Does educational stress mediate the relationship between intolerance of uncertainty and academic life satisfaction in teenagers during the COVID‐19 pandemic? Psychology in the Schools. [DOI: 10.1002/pits.22766] [Reference Citation Analysis]
7 Li Z, Pan X, Cai Y. Identification of Type 2 Diabetes Biomarkers From Mixed Single-Cell Sequencing Data With Feature Selection Methods. Front Bioeng Biotechnol 2022;10:890901. [DOI: 10.3389/fbioe.2022.890901] [Reference Citation Analysis]
8 Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022. [PMID: 35594413 DOI: 10.1021/acs.chemrev.1c00965] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
9 Li Z, Mei Z, Ding S, Chen L, Li H, Feng K, Huang T, Cai Y. Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods. Front Mol Biosci 2022;9:908080. [DOI: 10.3389/fmolb.2022.908080] [Reference Citation Analysis]
10 Li Z, Guo W, Zeng T, Yin J, Feng K, Huang T, Cai Y. Detecting Brain Structure-Specific Methylation Signatures and Rules for Alzheimer’s Disease. Front Neurosci 2022;16:895181. [DOI: 10.3389/fnins.2022.895181] [Reference Citation Analysis]
11 Zhou X, Ding S, Wang D, Chen L, Feng K, Huang T, Li Z, Cai Y. Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles. Life 2022;12:550. [DOI: 10.3390/life12040550] [Reference Citation Analysis]
12 Wu Z, Chen L, Karaman R. Similarity-Based Method with Multiple-Feature Sampling for Predicting Drug Side Effects. Computational and Mathematical Methods in Medicine 2022;2022:1-13. [DOI: 10.1155/2022/9547317] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
13 Li Z, Wang D, Liao H, Zhang S, Guo W, Chen L, Lu L, Huang T, Cai Y. Exploring the Genomic Patterns in Human and Mouse Cerebellums Via Single-Cell Sequencing and Machine Learning Method. Front Genet 2022;13:857851. [DOI: 10.3389/fgene.2022.857851] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
14 Meng C, Ju Y, Shi H. TMPpred: A support vector machine-based thermophilic protein identifier. Anal Biochem 2022;:114625. [PMID: 35218736 DOI: 10.1016/j.ab.2022.114625] [Reference Citation Analysis]
15 Chen L, Li Z, Zhang S, Zhang Y, Huang T, Cai Y, Ali HH. Predicting RNA 5-Methylcytosine Sites by Using Essential Sequence Features and Distributions. BioMed Research International 2022;2022:1-11. [DOI: 10.1155/2022/4035462] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 13.0] [Reference Citation Analysis]
16 Li X, Lu L, Chen L; College of Information Engineering, Shanghai Maritime University, Shanghai 201306, China, Department of Radiology, Columbia University Medical Center, New York 10032, USA. . MBE 2022;19:3820-42. [DOI: 10.3934/mbe.2022176] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 11.0] [Reference Citation Analysis]
17 Ding S, Li H, Zhang YH, Zhou X, Feng K, Li Z, Chen L, Huang T, Cai YD. Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines. Front Cell Dev Biol 2021;9:781285. [PMID: 34917619 DOI: 10.3389/fcell.2021.781285] [Reference Citation Analysis]
18 Chen L, Li Z, Zeng T, Zhang YH, Zhang S, Huang T, Cai YD. Predicting Human Protein Subcellular Locations by Using a Combination of Network and Function Features. Front Genet 2021;12:783128. [PMID: 34804131 DOI: 10.3389/fgene.2021.783128] [Reference Citation Analysis]
19 Chen W, Chen L, Dai Q. iMPT-FDNPL: Identification of Membrane Protein Types with Functional Domains and a Natural Language Processing Approach. Comput Math Methods Med 2021;2021:7681497. [PMID: 34671418 DOI: 10.1155/2021/7681497] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Chen L, Zhou X, Zeng T, Pan X, Zhang YH, Huang T, Fang Z, Cai YD. Recognizing Pattern and Rule of Mutation Signatures Corresponding to Cancer Types. Front Cell Dev Biol 2021;9:712931. [PMID: 34513841 DOI: 10.3389/fcell.2021.712931] [Reference Citation Analysis]
21 Huang GH, Zhang YH, Chen L, Li Y, Huang T, Cai YD. Identifying Lung Cancer Cell Markers with Machine Learning Methods and Single-Cell RNA-Seq Data. Life (Basel) 2021;11:940. [PMID: 34575089 DOI: 10.3390/life11090940] [Reference Citation Analysis]
22 Zhang YH, Guo W, Zeng T, Zhang S, Chen L, Gamarra M, Mansour RF, Escorcia-Gutierrez J, Huang T, Cai YD. Identification of Microbiota Biomarkers With Orthologous Gene Annotation for Type 2 Diabetes. Front Microbiol 2021;12:711244. [PMID: 34305880 DOI: 10.3389/fmicb.2021.711244] [Reference Citation Analysis]
23 Chen L, Li Z, Zeng T, Zhang YH, Feng K, Huang T, Cai YD. Identifying COVID-19-Specific Transcriptomic Biomarkers with Machine Learning Methods. Biomed Res Int 2021;2021:9939134. [PMID: 34307679 DOI: 10.1155/2021/9939134] [Reference Citation Analysis]
24 Zhu W, Guo Y, Zou Q. Prediction of presynaptic and postsynaptic neurotoxins based on feature extraction. Math Biosci Eng 2021;18:5943-58. [PMID: 34517517 DOI: 10.3934/mbe.2021297] [Reference Citation Analysis]
25 Jiao S, Xu L, Ju Y. CWLy-RF: A novel approach for identifying cell wall lyases based on random forest classifier. Genomics 2021;113:2919-24. [PMID: 34186189 DOI: 10.1016/j.ygeno.2021.06.038] [Reference Citation Analysis]
26 Zhang YH, Li Z, Lu L, Zeng T, Chen L, Li H, Huang T, Cai YD. Analysis of the Sequence Characteristics of Antifreeze Protein. Life (Basel) 2021;11:520. [PMID: 34204983 DOI: 10.3390/life11060520] [Reference Citation Analysis]
27 Chen L, Li Z, Zeng T, Zhang YH, Li H, Huang T, Cai YD. Predicting gene phenotype by multi-label multi-class model based on essential functional features. Mol Genet Genomics 2021;296:905-18. [PMID: 33914130 DOI: 10.1007/s00438-021-01789-8] [Reference Citation Analysis]
28 Zhang YH, Li Z, Zeng T, Chen L, Li H, Gamarra M, Mansour RF, Escorcia-Gutierrez J, Huang T, Cai YD. Investigating gene methylation signatures for fetal intolerance prediction. PLoS One 2021;16:e0250032. [PMID: 33886611 DOI: 10.1371/journal.pone.0250032] [Reference Citation Analysis]
29 Yuan F, Li Z, Chen L, Zeng T, Zhang YH, Ding S, Huang T, Cai YD. Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes. Front Genet 2021;12:651610. [PMID: 33767734 DOI: 10.3389/fgene.2021.651610] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]