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Alioune Ngom - Publications

Affiliations: 
Computer Science University of Windsor, Windsor, Canada 
Area:
Bioinformatics Biology
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26 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2022 Firoozbakht F, Rezaeian I, Rueda L, Ngom A. Computationally repurposing drugs for breast cancer subtypes using a network-based approach. Bmc Bioinformatics. 23: 143. PMID 35443626 DOI: 10.1186/s12859-022-04662-6  0.641
2020 Jubair S, Alkhateeb A, Tabl AA, Rueda L, Ngom A. A novel approach to identify subtype-specific network biomarkers of breast cancer survivability Network Modeling Analysis in Health Informatics and Bioinformatics. 9: 43. DOI: 10.1007/S13721-020-00249-4  0.538
2019 Tabl AA, Alkhateeb A, ElMaraghy W, Rueda L, Ngom A. A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer. Frontiers in Genetics. 10: 256. PMID 30972106 DOI: 10.3389/Fgene.2019.00256  0.491
2018 Tabl AA, Alkhateeb A, Pham HQ, Rueda L, ElMaraghy W, Ngom A. A Novel Approach for Identifying Relevant Genes for Breast Cancer Survivability on Specific Therapies. Evolutionary Bioinformatics Online. 14: 1176934318790266. PMID 30116102 DOI: 10.1177/1176934318790266  0.538
2017 Firoozbakht F, Rezaeian I, D'agnillo M, Porter L, Rueda L, Ngom A. An Integrative Approach for Identifying Network Biomarkers of Breast Cancer Subtypes Using Genomic, Interactomic, and Transcriptomic Data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. PMID 28650678 DOI: 10.1089/Cmb.2017.0010  0.709
2017 Tabl AA, Alkhateeb A, ElMaraghy W, Ngom A. Machine learning model for identifying gene biomarkers for breast cancer treatment survival F1000research. 6. DOI: 10.7490/F1000Research.1114873.1  0.493
2016 Mucaki EJ, Baranova K, Pham HQ, Rezaeian I, Angelov D, Ngom A, Rueda L, Rogan PK. Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning. F1000research. 5: 2124. PMID 28620450 DOI: 10.12688/F1000Research.9417.3  0.672
2016 Li Y, Wu FX, Ngom A. A review on machine learning principles for multi-view biological data integration. Briefings in Bioinformatics. PMID 28011753 DOI: 10.1093/Bib/Bbw113  0.362
2015 Li Y, Chen H, Zheng J, Ngom A. The Max-Min High-Order Dynamic Bayesian Network for Learning Gene Regulatory Networks with Time-Delayed Regulations. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. PMID 26336144 DOI: 10.1109/Tcbb.2015.2474409  0.415
2015 Firoozbakht F, Rezaeian I, Ngom A, Rueda L, Porter L. A novel approach for finding informative genes in ten subtypes of breast cancer 2015 Ieee Conference On Computational Intelligence in Bioinformatics and Computational Biology, Cibcb 2015. DOI: 10.1109/CIBCB.2015.7300301  0.71
2015 Firoozbakht F, Rezaeian I, Ngom A, Rueda L. A new compact set of biomarkers for distinguishing among ten breast cancer subtypes Proceedings - 2015 Ieee International Conference On Bioinformatics and Biomedicine, Bibm 2015. 1579-1585. DOI: 10.1109/BIBM.2015.7359911  0.71
2015 Li Y, Oommen BJ, Ngom A, Rueda L. Pattern classification using a new border identification paradigm: The nearest border technique Neurocomputing. 157: 105-117. DOI: 10.1016/J.Neucom.2015.01.030  0.302
2013 Li Y, Ngom A. Sparse representation approaches for the classification of high-dimensional biological data. Bmc Systems Biology. 7: S6. PMID 24565287 DOI: 10.1186/1752-0509-7-S4-S6  0.378
2013 Li Y, Ngom A. Nonnegative least-squares methods for the classification of high-dimensional biological data. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 10: 447-56. PMID 23929868 DOI: 10.1109/Tcbb.2013.30  0.426
2013 Li Y, Ngom A. Classification approach based on non-negative least squares Neurocomputing. 118: 41-57. DOI: 10.1016/J.Neucom.2013.02.012  0.332
2013 Rezaeian I, Li Y, Crozier M, Andrechek E, Ngom A, Rueda L, Porter L. Identifying informative genes for prediction of breast cancer subtypes Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7986: 138-148. DOI: 10.1007/978-3-642-39159-0-13  0.713
2012 Li Y, Ngom A, Rueda L. A framework of gene subset selection using multiobjective evolutionary algorithm Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7632: 38-48. DOI: 10.1007/978-3-642-34123-6_4  0.327
2011 Ibrahim ZM, Ngom A, Tawfik AY. Using qualitative probability in reverse-engineering gene regulatory networks. Ieee/Acm Transactions On Computational Biology and Bioinformatics / Ieee, Acm. 8: 326-34. PMID 20876933 DOI: 10.1109/Tcbb.2010.98  0.407
2011 Jafarian A, Ngom A. A new gene subset selection approach based on linearly separating gene pairs 2011 Ieee 1st International Conference On Computational Advances in Bio and Medical Sciences, Iccabs 2011. 105-110. DOI: 10.1109/ICCABS.2011.5729860  0.325
2011 Jafarian A, Ngom A, Rueda L. A novel recursive feature subset selection algorithm Proceedings - 2011 11th Ieee International Conference On Bioinformatics and Bioengineering, Bibe 2011. 78-83. DOI: 10.1109/BIBE.2011.19  0.308
2011 Jafarian A, Ngom A, Rueda L. New gene subset selection approaches based on linear separating genes and gene-pairs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7036: 50-62. DOI: 10.1007/978-3-642-24855-9_5  0.318
2010 Ngom A, Rueda L, Wang L, Gras R. Selection based heuristics for the non-unique oligonucleotide probe selection problem in microarray design Pattern Recognition Letters. 31: 2113-2125. DOI: 10.1016/J.Patrec.2010.04.015  0.356
2010 Ghoraie LS, Gras R, Wang L, Ngom A. Optimal decoding and minimal length for the non-unique oligonucleotide probe selection problem Neurocomputing. 73: 2407-2418. DOI: 10.1016/J.Neucom.2010.02.026  0.302
2008 Jakupciak JP, Maggrah A, Maragh S, Maki J, Reguly B, Maki K, Wittock R, Robinson K, Wagner PD, Thayer RE, Gehman K, Gehman T, Srivastava S, Ngom A, Dakubo GD, et al. Facile whole mitochondrial genome resequencing from nipple aspirate fluid using MitoChip v2.0. Bmc Cancer. 8: 95. PMID 18402686 DOI: 10.1186/1471-2407-8-95  0.354
2005 Qin L, Rueda L, Ali A, Ngom A. Spot detection and image segmentation in DNA microarray data. Applied Bioinformatics. 4: 1-11. PMID 16000008 DOI: 10.2165/00822942-200504010-00001  0.334
2005 French L, Ngom A, Rueda L. Fast protein superfamily classification using principal component null space analysis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3501: 158-169. DOI: 10.1007/11424918_17  0.357
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