Alain B. Tchagang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 19

Top Topics

Fourier Transform

Gene Expression Patterns

Machine Learning

Microarray Data

Top Venues

Publications

Julio J. Valdés, Alain B. Tchagang
Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets. J. Comput. Chem. 45 (15) (2024)
Julio J. Valdés, Alain B. Tchagang
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning. CoRR (2023)
Aws Al Jumaily, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li
Examining multi-objective deep reinforcement learning frameworks for molecular design. Biosyst. 232 (2023)
Julio J. Valdés, Alain B. Tchagang
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. IJCNN (2023)
Alain B. Tchagang, Julio J. Valdés
Towards a Classification Scheme for Inferring the Atomic Composition of Drug-like Molecules from their Quantum Derived Electronic Properties. CIBCB (2022)
Karl Grantham, Muhetaer Mukaidaisi, Hsu Kiang Ooi, Mohammad Sajjad Ghaemi, Alain B. Tchagang, Yifeng Li
Deep Evolutionary Learning for Molecular Design. IEEE Comput. Intell. Mag. 17 (2) (2022)
Sheriff Abouchekeir, Andrew Vu, Muhetaer Mukaidaisi, Karl Grantham, Alain B. Tchagang, Yifeng Li
Adversarial deep evolutionary learning for drug design. Biosyst. 222 (2022)
Sheriff Abouchekeir, Alain B. Tchagang, Yifeng Li
Adversarial Deep Evolutionary Learning for Drug Design. CIBCB (2021)
Alain B. Tchagang, Julio J. Valdés
Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction. CCECE (2021)
Yifeng Li, Hsu Kiang Ooi, Alain B. Tchagang
Deep Evolutionary Learning for Molecular Design. CoRR (2021)
Julio J. Valdés, Alain B. Tchagang
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Inverse Mappings. SSCI (2020)
Julio J. Valdés, Alain B. Tchagang
Deterministic Numeric Simulation and Surrogate Models with White and Black Machine Learning Methods: A Case Study on Direct Mappings. SSCI (2020)
Alain B. Tchagang, Julio J. Valdés
Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. ICANN (Workshop) (2019)
Alain B. Tchagang, Araz Ashouri
Accurate Energy Forecast in Buildings: A Data Driven Machine Learning Approach. CCECE (2019)
Alain B. Tchagang, Julio J. Valdés
Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. CCECE (2019)
Julio J. Valdés, Alain B. Tchagang
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. ICANN (Workshop) (2019)
Alain B. Tchagang
Bioinformatics Identification of Drug Gene Modules: Application to Clear Cell Carcinoma of the Ovary. EMBC (2018)
Alain B. Tchagang, François Fauteux, Dan Tulpan, Youlian Pan
Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat. BMC Bioinform. 18 (1) (2017)
Alain B. Tchagang, François Fauteux, Youlian Pan
Integration of 3D gene expression patterns and gene regulatory networks for clinical applications in epithelial ovarian cancer. BHI (2016)
Youlian Pan, Thérèse Ouellet, Sieu Phan, Alain B. Tchagang, François Fauteux, Dan Tulpan
Digitization of trait representation in microarray data analysis of wheat infected by fusarium graminearum. CIBCB (2015)
Alain B. Tchagang, Fazel Famili, Youlian Pan
Subspace Clustering of DNA Microarray Data: Theory, Evaluation, and Applications. Int. J. Comput. Model. Algorithms Medicine 4 (2) (2014)
Alain B. Tchagang, Sieu Phan, Fazel Famili, Youlian Pan, Adrian Cutler, Jitao Zou
A generic model of transcriptional regulatory networks: Application to plants under abiotic stress. GENSiPS (2013)
Alain B. Tchagang, Sieu Phan, Fazel Famili, Heather Shearer, Pierre R. Fobert, Yi Huang, Jitao Zou, Daiqing Huang, Adrian Cutler, Ziying Liu, Youlian Pan
Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm. BMC Bioinform. 13 (2012)
Alain B. Tchagang, Heather Shearer, Sieu Phan, Hugo Bérubé, Fazel Famili, Pierre R. Fobert, Youlian Pan
Towards a temporal modeling of the genetic network controlling Systemic Acquired Resistance in Arabidopsis thaliana. CIBCB (2010)
Alain B. Tchagang, Alexander Gawronski, Hugo Bérubé, Sieu Phan, Fazel Famili, Youlian Pan
GOAL: A software tool for assessing biological significance of genes groups. BMC Bioinform. 11 (2010)
Youlian Pan, Alain B. Tchagang, Hugo Bérubé, Sieu Phan, Heather Shearer, Ziying Liu, Pierre R. Fobert, Fazel Famili
. IEA/AIE (3) (2010)
Alain B. Tchagang, Hugo Bérubé, Ziying Liu, Sieu Phan, Fazel Famili, Youlian Pan
Towards the reconstruction of Brassica napus seed development FA metabolism dynamic regulatory map. GENSiPS (2009)
Alain B. Tchagang, Kevin V. Bui, Thomas McGinnis, Panayiotis V. Benos
Extracting biologically significant patterns from short time series gene expression data. BMC Bioinform. 10 (2009)
Alain B. Tchagang, Ahmed H. Tewfik, Panayiotis V. Benos
Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data. ICASSP (2008)
Alain B. Tchagang, Ahmed H. Tewfik
One-dimensional modeling of DNA sequences. EUSIPCO (2007)
Alain B. Tchagang, Ahmed H. Tewfik, Amy P. N. Skubitz, Keith Skubitz
Group-Biomarkers Identification in Ovarian Carcinoma. ICASSP (1) (2007)
Alain B. Tchagang, Ahmed H. Tewfik
DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach. EURASIP J. Adv. Signal Process. 2006 (2006)
Ahmed H. Tewfik, Alain B. Tchagang, Laura Vertatschitsch
Parallel Biclustering of Genes with Coherent Evolutions: Algorithm and Biological Significance of the Biclusters. ICASSP (2) (2006)
Ahmed H. Tewfik, Alain B. Tchagang, Laura Vertatschitsch
Parallel identification of gene biclusters with coherent evolutions. IEEE Trans. Signal Process. 54 (6-2) (2006)
Alain B. Tchagang, Ahmed H. Tewfik, Amy P. N. Skubitz, Keith Skubitz
A differential biclustering algorithm for comparative analysis of gene expression. EUSIPCO (2006)
Alain B. Tchagang, Ahmed H. Tewfik
Robust biclustering algorithm (ROBA) for DNA microarray data analysis. EUSIPCO (2005)
Ahmed H. Tewfik, Alain B. Tchagang
Biclustering of DNA microarray data with early pruning. ICASSP (5) (2005)