Rueda L - Search Results

1

Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning.

Mucaki EJ, Baranova K, Pham HQ, Rezaeian I, Angelov D, Ngom A, Rueda L, Rogan PK. Mucaki EJ, et al. Among authors: rueda l. F1000Res. 2016 Aug 31;5:2124. doi: 10.12688/f1000research.9417.3. eCollection 2016. F1000Res. 2016. PMID: 28620450 Free PMC article.

2

Spot detection and image segmentation in DNA microarray data.

Qin L, Rueda L, Ali A, Ngom A. Qin L, et al. Among authors: rueda l. Appl Bioinformatics. 2005;4(1):1-11. doi: 10.2165/00822942-200504010-00001. Appl Bioinformatics. 2005. PMID: 16000008 Free article. Review.

3

Multiple gene expression profile alignment for microarray time-series data clustering.

Subhani N, Rueda L, Ngom A, Burden CJ. Subhani N, et al. Among authors: rueda l. Bioinformatics. 2010 Sep 15;26(18):2281-8. doi: 10.1093/bioinformatics/btq422. Epub 2010 Jul 16. Bioinformatics. 2010. PMID: 20639411

4

A fully automatic gridding method for cDNA microarray images.

Rueda L, Rezaeian I. Rueda L, et al. BMC Bioinformatics. 2011 Apr 21;12:113. doi: 10.1186/1471-2105-12-113. BMC Bioinformatics. 2011. PMID: 21510903 Free PMC article.

5

Image segmentation of biofilm structures using optimal multi-level thresholding.

Rojas D, Rueda L, Ngom A, Hurrutia H, Cárcamo G. Rojas D, et al. Among authors: rueda l. Int J Data Min Bioinform. 2011;5(3):266-86. doi: 10.1504/ijdmb.2011.040384. Int J Data Min Bioinform. 2011. PMID: 21805823

6

CMT: a constrained multi-level thresholding approach for ChIP-Seq data analysis.

Rezaeian I, Rueda L. Rezaeian I, et al. Among authors: rueda l. PLoS One. 2014 Apr 15;9(4):e93873. doi: 10.1371/journal.pone.0093873. eCollection 2014. PLoS One. 2014. PMID: 24736605 Free PMC article.

7

A novel model used to detect differential splice junctions as biomarkers in prostate cancer from RNA-Seq data.

Rezaeian I, Tavakoli A, Cavallo-Medved D, Porter LA, Rueda L. Rezaeian I, et al. Among authors: rueda l. J Biomed Inform. 2016 Apr;60:422-30. doi: 10.1016/j.jbi.2016.03.010. Epub 2016 Mar 15. J Biomed Inform. 2016. PMID: 26992567 Free article.

8

An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data.

Firoozbakht F, Rezaeian I, D'agnillo M, Porter L, Rueda L, Ngom A. Firoozbakht F, et al. Among authors: rueda l. J Comput Biol. 2017 Aug;24(8):756-766. doi: 10.1089/cmb.2017.0010. Epub 2017 Jun 26. J Comput Biol. 2017. PMID: 28650678

9

A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies.

Tabl AA, Alkhateeb A, Pham HQ, Rueda L, ElMaraghy W, Ngom A. Tabl AA, et al. Among authors: rueda l. Evol Bioinform Online. 2018 Aug 10;14:1176934318790266. doi: 10.1177/1176934318790266. eCollection 2018. Evol Bioinform Online. 2018. PMID: 30116102 Free PMC article. Review.

10

The predictive performance of short-linear motif features in the prediction of calmodulin-binding proteins.

Li Y, Maleki M, Carruthers NJ, Stemmer PM, Ngom A, Rueda L. Li Y, et al. Among authors: rueda l. BMC Bioinformatics. 2018 Nov 20;19(Suppl 14):410. doi: 10.1186/s12859-018-2378-9. BMC Bioinformatics. 2018. PMID: 30453876 Free PMC article.

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