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Alain Tchagang
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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
582008
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
482012
DNA microarray data analysis: a novel biclustering algorithm approach
AB Tchagang, AH Tewfik
EURASIP Journal on Advances in Signal Processing 2006 (1), 059809, 2006
352006
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
342020
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
322010
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
242009
Coordinated control strategy and validation of vehicle-to-grid for frequency control
Y Yoo, Y Al-Shawesh, A Tchagang
Energies 14 (9), 2530, 2021
232021
Parallel identification of gene biclusters with coherent evolutions
AH Tewfik, AB Tchagang, L Vertatschitsch
IEEE transactions on signal processing 54 (6), 2408-2417, 2006
232006
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
222021
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
192022
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
162022
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
152019
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
142005
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
132021
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
122013
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
112021
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
102017
Biclustering of DNA microarray data with early pruning
AH Tewfik, AB Tchagang
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
102005
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
92015
Group-biomarkers identification in ovarian carcinoma
AB Tchagang, AH Tewfik, APN Skubitz, K Skubitz
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
92007
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Articles 1–20