Early detection of ovarian cancer using group biomarkers AB Tchagang, AH Tewfik, MS DeRycke, KM Skubitz, APN Skubitz Molecular cancer therapeutics 7 (1), 27-37, 2008 | 58 | 2008 |
Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm AB Tchagang, S Phan, F Famili, H Shearer, P Fobert, Y Huang, J Zou, ... BMC bioinformatics 13, 1-17, 2012 | 49 | 2012 |
V2B/V2G on energy cost and battery degradation under different driving scenarios, peak shaving, and frequency regulations A Tchagang, Y Yoo World Electric Vehicle Journal 11 (1), 14, 2020 | 36 | 2020 |
DNA microarray data analysis: a novel biclustering algorithm approach AB Tchagang, AH Tewfik EURASIP Journal on Advances in Signal Processing 2006 (1), 059809, 2006 | 35 | 2006 |
GOAL: a software tool for assessing biological significance of genes groups AB Tchagang, A Gawronski, H Bérubé, S Phan, F Famili, Y Pan BMC bioinformatics 11, 1-11, 2010 | 32 | 2010 |
Extracting biologically significant patterns from short time series gene expression data AB Tchagang, KV Bui, T McGinnis, PV Benos BMC bioinformatics 10, 1-11, 2009 | 24 | 2009 |
Comparative analysis of machine learning approaches on the prediction of the electronic properties of perovskites: A case study of ABX3 and A2BB’X6 ET Chenebuah, M Nganbe, AB Tchagang Materials Today Communications 27, 102462, 2021 | 23 | 2021 |
Parallel identification of gene biclusters with coherent evolutions AH Tewfik, AB Tchagang, L Vertatschitsch IEEE transactions on signal processing 54 (6), 2408-2417, 2006 | 23 | 2006 |
Deep evolutionary learning for molecular design K Grantham, M Mukaidaisi, HK Ooi, MS Ghaemi, A Tchagang, Y Li IEEE Computational Intelligence Magazine 17 (2), 14-28, 2022 | 22 | 2022 |
Coordinated control strategy and validation of vehicle-to-grid for frequency control Y Yoo, Y Al-Shawesh, A Tchagang Energies 14 (9), 2530, 2021 | 22 | 2021 |
Multi-objective drug design based on graph-fragment molecular representation and deep evolutionary learning M Mukaidaisi, A Vu, K Grantham, A Tchagang, Y Li Frontiers in Pharmacology 13, 920747, 2022 | 19 | 2022 |
Prediction of the atomization energy of molecules using Coulomb matrix and atomic composition in a Bayesian regularized neural networks AB Tchagang, JJ Valdés Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 16 | 2019 |
A new active learning approach for global optimization of atomic clusters MP Lourenco, BRL Galvao, L Barrios Herrera, J Hostaš, A Tchagang, ... Theoretical Chemistry Accounts 140 (6), 62, 2021 | 15 | 2021 |
Robust biclustering algorithm (ROBA) for DNA microarray data analysis AB Tchagang, AH Tewfik IEEE/SP 13th Workshop on Statistical Signal Processing, 2005, 984-989, 2005 | 14 | 2005 |
Biclustering of DNA microarray data: theory, evaluation, and applications AB Tchagang, Y Pan, F Famili, AH Tewfik, PV Benos Bioinformatics: concepts, methodologies, tools, and applications, 513-551, 2013 | 12 | 2013 |
Taking the multiplicity inside the loop: active learning for structural and spin multiplicity elucidation of atomic clusters MP Lourenço, LB Herrera, J Hostaš, P Calaminici, AM Köster, ... Theoretical Chemistry Accounts 140, 1-10, 2021 | 11 | 2021 |
Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat AB Tchagang, F Fauteux, D Tulpan, Y Pan BMC bioinformatics 18, 1-16, 2017 | 11 | 2017 |
GAMaterial—A genetic‐algorithm software for material design and discovery MP Lourenço, J Hostaš, LB Herrera, P Calaminici, AM Köster, ... Journal of Computational Chemistry 44 (7), 814-823, 2023 | 9 | 2023 |
Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants D Tulpan, S Leger, A Tchagang, Y Pan BMC genomics 16, 1-20, 2015 | 9 | 2015 |
Group-biomarkers identification in ovarian carcinoma AB Tchagang, AH Tewfik, APN Skubitz, K Skubitz 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 9 | 2007 |