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For: Irigoyen A, Jimenez-Luna C, Benavides M, Caba O, Gallego J, Ortuño FM, Guillen-Ponce C, Rojas I, Aranda E, Torres C, Prados J. Integrative multi-platform meta-analysis of gene expression profiles in pancreatic ductal adenocarcinoma patients for identifying novel diagnostic biomarkers. PLoS One 2018;13:e0194844. [PMID: 29617451 DOI: 10.1371/journal.pone.0194844] [Cited by in Crossref: 11] [Cited by in F6Publishing: 7] [Article Influence: 3.7] [Reference Citation Analysis]
Number Citing Articles
1 Jeng SL, Chi YC, Ma MC, Chan SH, Sun HS. Gene expression analysis of combined RNA-seq experiments using a receiver operating characteristic calibrated procedure. Comput Biol Chem 2021;93:107515. [PMID: 34044204 DOI: 10.1016/j.compbiolchem.2021.107515] [Reference Citation Analysis]
2 Junet V, Farrés J, Mas JM, Daura X. CuBlock: a cross-platform normalization method for gene-expression microarrays. Bioinformatics 2021:btab105. [PMID: 33609102 DOI: 10.1093/bioinformatics/btab105] [Reference Citation Analysis]
3 Lorenzon R, Mariotti-Ferrandiz E, Aheng C, Ribet C, Toumi F, Pitoiset F, Chaara W, Derian N, Johanet C, Drakos I, Harris S, Amselem S, Berenbaum F, Benveniste O, Bodaghi B, Cacoub P, Grateau G, Amouyal C, Hartemann A, Saadoun D, Sellam J, Seksik P, Sokol H, Salem JE, Vicaut E, Six A, Rosenzwajg M, Bernard C, Klatzmann D. Clinical and multi-omics cross-phenotyping of patients with autoimmune and autoinflammatory diseases: the observational TRANSIMMUNOM protocol. BMJ Open 2018;8:e021037. [PMID: 30166293 DOI: 10.1136/bmjopen-2017-021037] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.7] [Reference Citation Analysis]
4 Almeida PP, Cardoso CP, de Freitas LM. PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expression. BMC Cancer. 2020;20:82. [PMID: 32005189 DOI: 10.1186/s12885-020-6533-0] [Cited by in Crossref: 9] [Cited by in F6Publishing: 8] [Article Influence: 9.0] [Reference Citation Analysis]
5 Arora I, Tollefsbol TO. Computational methods and next-generation sequencing approaches to analyze epigenetics data: Profiling of methods and applications. Methods 2021;187:92-103. [PMID: 32941995 DOI: 10.1016/j.ymeth.2020.09.008] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
6 Jeon YS, Shivakumar M, Kim D, Kim CS, Lee JS. Reliability of microarray analysis for studying periodontitis: low consistency in 2 periodontitis cohort data sets from different platforms and an integrative meta-analysis. J Periodontal Implant Sci 2021;51:18-29. [PMID: 33634612 DOI: 10.5051/jpis.2002120106] [Reference Citation Analysis]
7 Maleknia S, Salehi Z, Rezaei Tabar V, Sharifi-Zarchi A, Kavousi K. An integrative Bayesian network approach to highlight key drivers in systemic lupus erythematosus. Arthritis Res Ther 2020;22:156. [PMID: 32576231 DOI: 10.1186/s13075-020-02239-3] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]