Robust biclustering algorithm (ROBA) for DNA microarray data analysis. - Alain B. Tchagang; Ahmed H. Tewfik (EUSIPCO, 2005)

Biclustering of DNA microarray data with early pruning. - Ahmed H. Tewfik; Alain B. Tchagang (ICASSP (5), 2005)

A differential biclustering algorithm for comparative analysis of gene expression. - Alain B. Tchagang; Ahmed H. Tewfik; Amy P. N. Skubitz; Keith Skubitz (EUSIPCO, 2006)

Parallel Biclustering of Genes with Coherent Evolutions: Algorithm and Biological Significance of the Biclusters. - Ahmed H. Tewfik; Alain B. Tchagang; Laura Vertatschitsch (ICASSP (2), 2006)

DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach. - Alain B. Tchagang; Ahmed H. Tewfik (EURASIP J. Adv. Signal Process., 2006)

Parallel identification of gene biclusters with coherent evolutions. - Ahmed H. Tewfik; Alain B. Tchagang; Laura Vertatschitsch (IEEE Trans. Signal Process., 2006)

One-dimensional modeling of DNA sequences. - Alain B. Tchagang; Ahmed H. Tewfik (EUSIPCO, 2007)

Group-Biomarkers Identification in Ovarian Carcinoma. - Alain B. Tchagang; Ahmed H. Tewfik; Amy P. N. Skubitz; Keith Skubitz (ICASSP (1), 2007)

Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data. - Alain B. Tchagang; Ahmed H. Tewfik; Panayiotis V. Benos (ICASSP, 2008)

Towards the reconstruction of Brassica napus seed development FA metabolism dynamic regulatory map. - Alain B. Tchagang; Hugo Bérubé; Ziying Liu; Sieu Phan; Fazel Famili; Youlian Pan (GENSiPS, 2009)

Extracting biologically significant patterns from short time series gene expression data. - Alain B. Tchagang; Kevin V. Bui; Thomas McGinnis; Panayiotis V. Benos (BMC Bioinform., 2009)

Towards a temporal modeling of the genetic network controlling Systemic Acquired Resistance in Arabidopsis thaliana. - Alain B. Tchagang; Heather Shearer; Sieu Phan; Hugo Bérubé; Fazel Famili; Pierre R. Fobert; Youlian Pan (CIBCB, 2010)

Integrative Data Mining in Functional Genomics of Brassica napus and Arabidopsis thaliana. - Youlian Pan; Alain B. Tchagang; Hugo Bérubé; Sieu Phan; Heather Shearer; Ziying Liu; Pierre R. Fobert; Fazel Famili (IEA/AIE (3), 2010)

GOAL: A software tool for assessing biological significance of genes groups. - Alain B. Tchagang; Alexander Gawronski; Hugo Bérubé; Sieu Phan; Fazel Famili; Youlian Pan (BMC Bioinform., 2010)

Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications. - Alain B. Tchagang; Youlian Pan; Fazel Famili; Ahmed H. Tewfik; Panayiotis V. Benos (Handbook of Research on Computational and Systems Biology, 2011)

Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm. - Alain B. Tchagang; Sieu Phan; Fazel Famili; Heather Shearer; Pierre R. Fobert; Yi Huang; Jitao Zou; Daiqing Huang; Adrian Cutler; Ziying Liu; Youlian Pan (BMC Bioinform., 2012)

A generic model of transcriptional regulatory networks: Application to plants under abiotic stress. - Alain B. Tchagang; Sieu Phan; Fazel Famili; Youlian Pan; Adrian Cutler; Jitao Zou (GENSiPS, 2013)

Subspace Clustering of DNA Microarray Data: Theory, Evaluation, and Applications. - Alain B. Tchagang; Fazel Famili; Youlian Pan (Int. J. Comput. Model. Algorithms Medicine, 2014)

Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum. - Youlian Pan; Thérèse Ouellet; Sieu Phan; Alain B. Tchagang; François Fauteux; Dan Tulpan (CIBCB, 2015)

Integration of 3D gene expression patterns and gene regulatory networks for clinical applications in epithelial ovarian cancer. - Alain B. Tchagang; François Fauteux; Youlian Pan (BHI, 2016)

Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat. - Alain B. Tchagang; François Fauteux; Dan Tulpan; Youlian Pan (BMC Bioinform., 2017)

Bioinformatics Identification of Drug Gene Modules: Application to Clear Cell Carcinoma of the Ovary. - Alain B. Tchagang (EMBC, 2018)

Accurate Energy Forecast in Buildings: A Data Driven Machine Learning Approach. - Alain B. Tchagang; Araz Ashouri (CCECE, 2019)

Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. - Alain B. Tchagang; Julio J. Valdés (CCECE, 2019)

Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. - Alain B. Tchagang; Julio J. Valdés (ICANN (Workshop), 2019)

Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. - Julio J. Valdés; Alain B. Tchagang (ICANN (Workshop), 2019)

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings. - Julio J. Valdés; Alain B. Tchagang (SSCI, 2020)

Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings. - Julio J. Valdés; Alain B. Tchagang (SSCI, 2020)

Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction. - Alain B. Tchagang; Julio J. Valdés (CCECE, 2021)

Adversarial Deep Evolutionary Learning for Drug Design. - Sheriff Abouchekeir; Alain B. Tchagang; Yifeng Li 001 (CIBCB, 2021)

Deep Evolutionary Learning for Molecular Design. - Yifeng Li 001; Hsu Kiang Ooi; Alain B. Tchagang (CoRR, 2021)

Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. - Aws Al Jumaily; Muhetaer Mukaidaisi; Andrew Vu; Alain B. Tchagang; Yifeng Li 001 (CIBCB, 2022)

Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. - Alain B. Tchagang; Julio J. Valdés (CIBCB, 2022)

Adversarial deep evolutionary learning for drug design. - Sheriff Abouchekeir; Andrew Vu; Muhetaer Mukaidaisi; Karl Grantham; Alain B. Tchagang; Yifeng Li 001 (Biosyst., 2022)

Deep Evolutionary Learning for Molecular Design. - Karl Grantham; Muhetaer Mukaidaisi; Hsu Kiang Ooi; Mohammad Sajjad Ghaemi; Alain B. Tchagang; Yifeng Li 001 (IEEE Comput. Intell. Mag., 2022)

Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites. - Ericsson Chenebuah; Michel Nganbe; Alain Tchagang (Canadian AI, 2023)

Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. - Julio J. Valdés; Alain B. Tchagang (IJCNN, 2023)

Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning. - Julio J. Valdés; Alain B. Tchagang (CoRR, 2023)

GAMaterial - A genetic-algorithm software for material design and discovery. - Maicon Pierre Lourenço; Jirí Hostas; Lizandra Barrios Herrera; Patrizia Calaminici; Andreas M. Köster; Alain Tchagang; Dennis R. Salahub (J. Comput. Chem., 2023)

Examining multi-objective deep reinforcement learning frameworks for molecular design. - Aws Al Jumaily; Muhetaer Mukaidaisi; Andrew Vu; Alain B. Tchagang; Yifeng Li 001 (Biosyst., 2023)

Active-learning for global optimization of Ni-Ceria nanoparticles: The case of Ce4-xNixO8-x (x = 1, 2, 3). - Lizandra Barrios Herrera; Maicon Pierre Lourenço; Jirí Hostas; Patrizia Calaminici; Andreas M. Köster; Alain Tchagang; Dennis R. Salahub (J. Comput. Chem., 2024)

Reinforcement learning for in silico determination of adsorbate - substrate structures. - Maicon Pierre Lourenço; Jirí Hostas; Colin Bellinger; Alain Tchagang; Dennis R. Salahub (J. Comput. Chem., 2024)

Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets. - Julio J. Valdés; Alain B. Tchagang (J. Comput. Chem., 2024)

Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery. - Nicholas Aksamit; Alain Tchagang; Yifeng Li; Beatrice M. Ombuki-Berman (BMC Bioinform., 2024)

OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes. - Félix Therrien; Jamal Abou Haibeh; Divya Sharma; Rhiannon Hendley; Alex Hernández-García; Sun Sun; Alain Tchagang; Jiang Su; Samuel Huberman; Yoshua Bengio; Hongyu Guo; Homin Shin (CoRR, 2025)