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Alain B. Tchagang
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Journal Articles
- 2024
- [j15]Nicholas Aksamit, Alain Tchagang, Yifeng Li, Beatrice M. Ombuki-Berman:
Hybrid fragment-SMILES tokenization for ADMET prediction in drug discovery. BMC Bioinform. 25(1): 255 (2024) - [j14]Julio J. Valdés, Alain B. Tchagang
:
Novel machine learning insights into the QM7b and QM9 quantum mechanics datasets. J. Comput. Chem. 45(15): 1193-1214 (2024) - [j13]Maicon Pierre Lourenço
, Jirí Hostas, Colin Bellinger, Alain Tchagang
, Dennis R. Salahub:
Reinforcement learning for in silico determination of adsorbate - substrate structures. J. Comput. Chem. 45(15): 1289-1302 (2024) - [j12]Lizandra Barrios Herrera
, Maicon Pierre Lourenço
, Jirí Hostas, Patrizia Calaminici
, Andreas M. Köster
, Alain Tchagang
, Dennis R. Salahub:
Active-learning for global optimization of Ni-Ceria nanoparticles: The case of Ce4-xNixO8-x (x = 1, 2, 3). J. Comput. Chem. 45(19, July): 1643-1656 (2024) - 2023
- [j11]Aws Al Jumaily
, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li
:
Examining multi-objective deep reinforcement learning frameworks for molecular design. Biosyst. 232: 104989 (2023) - [j10]Maicon Pierre Lourenço
, Jirí Hostas
, Lizandra Barrios Herrera, Patrizia Calaminici
, Andreas M. Köster
, Alain Tchagang, Dennis R. Salahub
:
GAMaterial - A genetic-algorithm software for material design and discovery. J. Comput. Chem. 44(7): 814-823 (2023) - 2022
- [j9]Sheriff Abouchekeir, Andrew Vu, Muhetaer Mukaidaisi, Karl Grantham, Alain B. Tchagang, Yifeng Li
:
Adversarial deep evolutionary learning for drug design. Biosyst. 222: 104790 (2022) - [j8]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): 14-28 (2022) - 2017
- [j7]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): 174:1-174:16 (2017) - 2014
- [j6]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): 1-52 (2014) - 2012
- [j5]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: 54 (2012) - 2010
- [j4]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: 229 (2010) - 2009
- [j3]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) - 2006
- [j2]Alain B. Tchagang, Ahmed H. Tewfik:
DNA Microarray Data Analysis: A Novel Biclustering Algorithm Approach. EURASIP J. Adv. Signal Process. 2006 (2006) - [j1]Ahmed H. Tewfik, Alain B. Tchagang, Laura Vertatschitsch:
Parallel identification of gene biclusters with coherent evolutions. IEEE Trans. Signal Process. 54(6-2): 2408-2417 (2006)
Conference and Workshop Papers
- 2023
- [c26]Ericsson Chenebuah, Michel Nganbe, Alain Tchagang:
Target-learning the Latent Space of a Variational Autoencoder model for the Inverse Design of Stable Perovskites. Canadian AI 2023 - [c25]Julio J. Valdés, Alain B. Tchagang:
Approximating the Atomic Composition of Drug-like Molecules from Quantum Derived Properties: Inverse Design. IJCNN 2023: 1-8 - 2022
- [c24]Aws Al Jumaily
, Muhetaer Mukaidaisi, Andrew Vu, Alain B. Tchagang, Yifeng Li:
Exploring Multi-Objective Deep Reinforcement Learning Methods for Drug Design. CIBCB 2022: 1-8 - [c23]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: 1-5 - 2021
- [c22]Alain B. Tchagang, Julio J. Valdés:
Time Frequency Representations and Deep Convolutional Neural Networks: A Recipe for Molecular Properties Prediction. CCECE 2021: 1-5 - [c21]Sheriff Abouchekeir, Alain B. Tchagang, Yifeng Li:
Adversarial Deep Evolutionary Learning for Drug Design. CIBCB 2021: 1-9 - 2020
- [c20]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: 2485-2494 - [c19]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: 2495-2503 - 2019
- [c18]Alain B. Tchagang, Araz Ashouri:
Accurate Energy Forecast in Buildings: A Data Driven Machine Learning Approach. CCECE 2019: 1-4 - [c17]Alain B. Tchagang, Julio J. Valdés:
Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. CCECE 2019: 1-4 - [c16]Julio J. Valdés
, Alain B. Tchagang
:
Characterization of Quantum Derived Electronic Properties of Molecules: A Computational Intelligence Approach. ICANN (Workshop) 2019: 771-782 - [c15]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: 793-803 - 2018
- [c14]Alain B. Tchagang:
Bioinformatics Identification of Drug Gene Modules: Application to Clear Cell Carcinoma of the Ovary. EMBC 2018: 303-306 - 2016
- [c13]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: 541-544 - 2015
- [c12]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: 1-9 - 2013
- [c11]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: 28-31 - 2010
- [c10]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: 1-8 - [c9]Youlian Pan
, Alain B. Tchagang, Hugo Bérubé, Sieu Phan, Heather Shearer, Ziying Liu, Pierre R. Fobert, Fazel Famili:
Integrative Data Mining in Functional Genomics of Brassica napus and Arabidopsis thaliana. IEA/AIE (3) 2010: 92-101 - 2009
- [c8]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: 1-4 - 2008
- [c7]Alain B. Tchagang, Ahmed H. Tewfik, Panayiotis V. Benos:
Biological evaluation of biclustering algorithms using Gene Ontology and chIP-chip data. ICASSP 2008: 637-640 - 2007
- [c6]Alain B. Tchagang, Ahmed H. Tewfik:
One-dimensional modeling of DNA sequences. EUSIPCO 2007: 1566-1569 - [c5]Alain B. Tchagang, Ahmed H. Tewfik, Amy P. N. Skubitz
, Keith Skubitz:
Group-Biomarkers Identification in Ovarian Carcinoma. ICASSP (1) 2007: 341-344 - 2006
- [c4]Alain B. Tchagang, Ahmed H. Tewfik, Amy P. N. Skubitz, Keith Skubitz:
A differential biclustering algorithm for comparative analysis of gene expression. EUSIPCO 2006: 1-4 - [c3]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: 1096-1099 - 2005
- [c2]Alain B. Tchagang, Ahmed H. Tewfik:
Robust biclustering algorithm (ROBA) for DNA microarray data analysis. EUSIPCO 2005: 1-4 - [c1]Ahmed H. Tewfik, Alain B. Tchagang:
Biclustering of DNA microarray data with early pruning. ICASSP (5) 2005: 773-776
Parts in Books or Collections
- 2011
- [p1]Alain B. Tchagang, Youlian Pan
, Fazel Famili, Ahmed H. Tewfik, Panayiotis V. Benos:
Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications. Handbook of Research on Computational and Systems Biology 2011: 148-186
Informal and Other Publications
- 2023
- [i2]Julio J. Valdés, Alain B. Tchagang:
Understanding the Structure of QM7b and QM9 Quantum Mechanical Datasets Using Unsupervised Learning. CoRR abs/2309.15130 (2023) - 2021
- [i1]Yifeng Li, Hsu Kiang Ooi, Alain B. Tchagang:
Deep Evolutionary Learning for Molecular Design. CoRR abs/2102.01011 (2021)
Coauthor Index
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last updated on 2024-08-06 21:06 CEST by the dblp team
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