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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