Similar articles for PMID: 23634293

Year	Number of Results
2001	1
2002	2
2003	9
2004	4
2005	5
2006	4
2007	5
2008	7
2009	8
2010	5
2011	7
2012	7
2013	7
2014	5
2015	4
2016	4
2017	3
2018	5
2019	5
2020	5
2021	4
2022	2
2024	0

1

Identification of potential biomarkers from microarray experiments using multiple criteria optimization.

Sánchez-Peña ML, Isaza CE, Pérez-Morales J, Rodríguez-Padilla C, Castro JM, Cabrera-Ríos M. Sánchez-Peña ML, et al. Cancer Med. 2013 Apr;2(2):253-65. doi: 10.1002/cam4.69. Epub 2013 Feb 27. Cancer Med. 2013. PMID: 23634293 Free PMC article.

2

Knowledge-guided multi-scale independent component analysis for biomarker identification.

Chen L, Xuan J, Wang C, Shih IeM, Wang Y, Zhang Z, Hoffman E, Clarke R. Chen L, et al. BMC Bioinformatics. 2008 Oct 6;9:416. doi: 10.1186/1471-2105-9-416. BMC Bioinformatics. 2008. PMID: 18837990 Free PMC article.

3

Integration of RNA-Seq data with heterogeneous microarray data for breast cancer profiling.

Castillo D, Gálvez JM, Herrera LJ, Román BS, Rojas F, Rojas I. Castillo D, et al. BMC Bioinformatics. 2017 Nov 21;18(1):506. doi: 10.1186/s12859-017-1925-0. BMC Bioinformatics. 2017. PMID: 29157215 Free PMC article.

4

Multiple Criteria Optimization (MCO): A gene selection deterministic tool in RStudio.

Narváez-Bandera I, Suárez-Gómez D, Isaza CE, Cabrera-Ríos M. Narváez-Bandera I, et al. PLoS One. 2022 Jan 27;17(1):e0262890. doi: 10.1371/journal.pone.0262890. eCollection 2022. PLoS One. 2022. PMID: 35085348 Free PMC article.

5

Potential colon cancer biomarker search using more than two performance measures in a multiple criteria optimization approach.

Watts-Oquendo E, Sánchez-Peña M, Isaza CE, Cabrera-Ríos M. Watts-Oquendo E, et al. P R Health Sci J. 2012 Jun;31(2):59-63. P R Health Sci J. 2012. PMID: 22783697

6

Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression.

Morais-Rodrigues F, Silv Erio-Machado R, Kato RB, Rodrigues DLN, Valdez-Baez J, Fonseca V, San EJ, Gomes LGR, Dos Santos RG, Vinicius Canário Viana M, da Cruz Ferraz Dutra J, Teixeira Dornelles Parise M, Parise D, Campos FF, de Souza SJ, Ortega JM, Barh D, Ghosh P, Azevedo VAC, Dos Santos MA. Morais-Rodrigues F, et al. Gene. 2020 Feb 5;726:144168. doi: 10.1016/j.gene.2019.144168. Epub 2019 Nov 21. Gene. 2020. PMID: 31759986 Free article.

7

Regularized gene selection in cancer microarray meta-analysis.

Ma S, Huang J. Ma S, et al. BMC Bioinformatics. 2009 Jan 1;10:1. doi: 10.1186/1471-2105-10-1. BMC Bioinformatics. 2009. PMID: 19118496 Free PMC article.

8

Multi-view based integrative analysis of gene expression data for identifying biomarkers.

Yang ZY, Liu XY, Shu J, Zhang H, Ren YQ, Xu ZB, Liang Y. Yang ZY, et al. Sci Rep. 2019 Sep 18;9(1):13504. doi: 10.1038/s41598-019-49967-4. Sci Rep. 2019. PMID: 31534156 Free PMC article.

9

Multi-class clustering of cancer subtypes through SVM based ensemble of pareto-optimal solutions for gene marker identification.

Mukhopadhyay A, Bandyopadhyay S, Maulik U. Mukhopadhyay A, et al. PLoS One. 2010 Nov 12;5(11):e13803. doi: 10.1371/journal.pone.0013803. PLoS One. 2010. PMID: 21103052 Free PMC article.

10

The optimal discovery procedure for large-scale significance testing, with applications to comparative microarray experiments.

Storey JD, Dai JY, Leek JT. Storey JD, et al. Biostatistics. 2007 Apr;8(2):414-32. doi: 10.1093/biostatistics/kxl019. Epub 2006 Aug 23. Biostatistics. 2007. PMID: 16928955

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