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Research Output 1996 2019

  • 816 Citations
  • 14 h-Index
  • 35 Article
  • 18 Conference contribution
  • 3 Chapter
  • 2 Comment/debate
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Article
2019

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates

Rawi, R., Mall, R., Shen, C. H., Farney, S. K., Shiakolas, A., Zhou, J., Bensmail, H., Chun, T. W., Doria-Rose, N. A., Lynch, R. M., Mascola, J. R., Kwong, P. D. & Chuang, G. Y., 1 Dec 2019, In : Scientific reports. 9, 1, 14696.

Research output: Contribution to journalArticle

Open Access
HIV-1
Neutralizing Antibodies
Antibodies
Clinical Trials
env Gene Products
2 Citations (Scopus)

Clustme: A visual quality measure for ranking monochrome scatterplots based on cluster patterns

Abbas, M., Aupetit, M., Sedlmair, M. & Bensmail, H., 1 Jan 2019, In : Computer Graphics Forum. 38, 3, p. 225-236 12 p.

Research output: Contribution to journalArticle

Merging
3 Citations (Scopus)

Deepcrystal: A deep learning framework for sequence-based protein crystallization prediction

Elbasir, A., Moovarkumudalvan, B., Kunji, K., Kolatkar, P., Mall, R. & Bensmail, H., 1 Jul 2019, In : Bioinformatics. 35, 13, p. 2216-2225 10 p.

Research output: Contribution to journalArticle

Crystallization
Learning
Proteins
Protein
Prediction
7 Citations (Scopus)

Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning

Park, H., Mall, R., Alharbi, F., Sanvito, S., Tabet, N., Bensmail, H. & El-Mellouhi, F., 1 Jan 2019, In : Physical Chemistry Chemical Physics. 21, 3, p. 1078-1088 11 p.

Research output: Contribution to journalArticle

machine learning
perovskites
Formability
Discrete Fourier transforms
learning

KinVis: A visualization tool to detect cryptic relatedness in genetic datasets

Ullah, E., Aupetit, M., Das, A., Patil, A., Al Muftah, N., Rawi, R., Saad, M. & Bensmail, H., 1 Aug 2019, In : Bioinformatics. 35, 15, p. 2683-2685 3 p.

Research output: Contribution to journalArticle

Genome-Wide Association Study
Computational Biology
Visualization
Hot Temperature
Bar chart
2 Citations (Scopus)

Learn-and-Match Molecular Cations for Perovskites

Park, H., Mall, R., Alharbi, F., Sanvito, S., Tabet, N., Bensmail, H. & El-Mellouhi, F., 1 Jan 2019, In : Journal of Physical Chemistry A.

Research output: Contribution to journalArticle

perovskites
machine learning
Cations
Learning systems
cations

Prediction of protein group function by iterative classification on functional relevance network

Khan, I. K., Jain, A., Rawi, R., Bensmail, H. & Kihara, D., 1 Jan 2019, In : Bioinformatics. 35, 8, p. 1388-1394 7 p.

Research output: Contribution to journalArticle

Proteins
Protein
Prediction
Proteomics
Graphical Models
2018
11 Citations (Scopus)

DeepSol: A deep learning framework for sequence-based protein solubility prediction

Khurana, S., Rawi, R., Kunji, K., Chuang, G. Y., Bensmail, H. & Mall, R., 1 Jan 2018, In : Bioinformatics. 34, 15, p. 2605-2613 9 p.

Research output: Contribution to journalArticle

Solubility
Learning
Proteins
Protein
Prediction
1 Citation (Scopus)

Harnessing Qatar Biobank to understand type 2 diabetes and obesity in adult Qataris from the First Qatar Biobank Project

Ullah, E., Mall, R., Rawi, R., Moustaid, N. M., Butt, A. A. & Bensmail, H., 12 Apr 2018, In : Journal of Translational Medicine. 16, 1, 99.

Research output: Contribution to journalArticle

Qatar
Medical problems
Type 2 Diabetes Mellitus
Obesity
Insulin
6 Citations (Scopus)

RGBM: regularized gradient boosting machines for identification of the transcriptional regulators of discrete glioma subtypes

Mall, R., Cerulo, L., Garofano, L., Frattini, V., Kunji, K., Bensmail, H., Sabedot, T. S., Noushmehr, H., Lasorella, A., Iavarone, A. & Ceccarelli, M., 20 Apr 2018, In : Nucleic Acids Research. 46, 7, p. e39

Research output: Contribution to journalArticle

Gene Regulatory Networks
Regulator Genes
Glioblastoma
Transcriptome
Brain Neoplasms
2017
9 Citations (Scopus)

Detection of statistically significant network changes in complex biological networks

Mall, R., Cerulo, L., Bensmail, H., Iavarone, A. & Ceccarelli, M., 4 Mar 2017, In : BMC Systems Biology. 11, 1, 32.

Research output: Contribution to journalArticle

Biological Networks
Electric wiring
Complex Networks
Genes
Hamming distance
2016
Empirical Bayes
Contact
Proteins
Protein
Estimator
2015
5 Citations (Scopus)

Coevolution analysis of HIV-1 envelope glycoprotein complex

Rawi, R., Kunji, K., Haoudi, A. & Bensmail, H., 1 Nov 2015, In : PLoS One. 10, 11, 0143245.

Research output: Contribution to journalArticle

coevolution
Human immunodeficiency virus 1
HIV-1
glycoproteins
Glycoproteins
1 Citation (Scopus)

Erratum: Coevolution analysis of HIV-1 envelope glycoprotein complex (PLoS ONE (2015) 10:11 (e0143245) DOI:10.1371/journal.pone.0143245)

Rawi, R., Kunji, K., Haoudi, A. & Bensmail, H., 1 Dec 2015, In : PLoS One. 10, 12, e0145974.

Research output: Contribution to journalArticle

Glycoproteins

Model selection emphasises the importance of non-chromosomal information in genetic studies

Rawi, R., Anbari, M. E. & Bensmail, H., 27 Jan 2015, In : PLoS One. 10, 1, e0117014.

Research output: Contribution to journalArticle

Yeast
heritability
Yeasts
Phenotype
Growth
22 Citations (Scopus)

Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer

Remo, A., Simeone, I., Pancione, M., Parcesepe, P., Finetti, P., Cerulo, L., Bensmail, H., Birnbaum, D., Van Laere, S. J., Colantuoni, V., Bonetti, F., Bertucci, F., Manfrin, E. & Ceccarelli, M., 1 May 2015, In : Journal of Translational Medicine. 13, 1, 138.

Research output: Contribution to journalArticle

Inflammatory Breast Neoplasms
Catenins
Systems Biology
Biomarkers
Genes
2014
50 Citations (Scopus)

Feature selection and multi-kernel learning for sparse representation on a manifold

Wang, J. J. Y., Bensmail, H. & Gao, X., 1 Mar 2014, In : Neural Networks. 51, p. 9-16 8 p.

Research output: Contribution to journalArticle

Feature extraction
Learning
Glycosylation
Medical imaging
Diagnostic Imaging

Unified framework for representing and ranking

Wang, J. J. Y. & Bensmail, H., 1 Jun 2014, In : Pattern Recognition. 47, 6, p. 2293-2300 8 p.

Research output: Contribution to journalArticle

Magnetic resonance imaging
Feature extraction
Tumors
Brain
Proteins
2013
30 Citations (Scopus)

Discriminative sparse coding on multi-manifolds

Wang, J. J. Y., Bensmail, H., Yao, N. & Gao, X., 1 Jan 2013, In : Knowledge-Based Systems. 54, p. 199-206 8 p.

Research output: Contribution to journalArticle

Labels
Medical imaging
Bioinformatics
Computer vision
Tumors
41 Citations (Scopus)

Joint learning and weighting of visual vocabulary for bag-of-feature based tissue classification

Wang, J. J. Y., Bensmail, H. & Gao, X., 1 Dec 2013, In : Pattern Recognition. 46, 12, p. 3249-3255 7 p.

Research output: Contribution to journalArticle

Tissue
Tomography
Brain
79 Citations (Scopus)

Multiple graph regularized nonnegative matrix factorization

Wang, J. J. Y., Bensmail, H. & Gao, X., 1 Oct 2013, In : Pattern Recognition. 46, 10, p. 2840-2847 8 p.

Research output: Contribution to journalArticle

Factorization
Proteins
Experiments
2012
37 Citations (Scopus)

Multiple graph regularized protein domain ranking

Wang, J. J. Y., Bensmail, H. & Gao, X., 19 Nov 2012, In : BMC Bioinformatics. 13, 1, 307.

Research output: Contribution to journalArticle

Ranking
Proteins
Protein
Graph in graph theory
Protein Databases
2009
1 Citation (Scopus)

Performance of model selection criteria in Bayesian Threshold VAR (TVAR) models

Kwon, Y., Bozdogan, H. & Bensmail, H., 1 Jan 2009, In : Econometric Reviews. 28, 1-3, p. 83-101 19 p.

Research output: Contribution to journalArticle

Model selection criteria
VAR model
Bayesian modeling
Burden
Bayes factor
2008
27 Citations (Scopus)

A comparison of multiple linear regression and quantite regression for modeling the internal bond of medium density fiberboard

Young, T. M., Shaffer, L. B., Guess, F. M., Bensmail, H. & León, R. V., 1 Apr 2008, In : Forest Products Journal. 58, 4, p. 39-48 10 p.

Research output: Contribution to journalArticle

medium density fiberboards
Linear regression
modeling
comparison
refiners
2006
31 Citations (Scopus)

Bioinformatics and data mining in proteomics

Haoudi, A. & Bensmail, H., 7 Jul 2006, In : Expert Review of Proteomics. 3, 3, p. 333-343 11 p.

Research output: Contribution to journalArticle

Data Mining
Bioinformatics
Computational Biology
Proteomics
Data mining
44 Citations (Scopus)

Detection and classification of defect patterns on semiconductor wafers

Wang, C. H., Kuo, W. & Bensmail, H., 1 Dec 2006, In : IIE Transactions (Institute of Industrial Engineers). 38, 12, p. 1059-1068 10 p.

Research output: Contribution to journalArticle

Semiconductor materials
Defects
Engineers
Electron microscopes
Scanning
2005
29 Citations (Scopus)

A novel approach for clustering proteomics data using Bayesian fast Fourier transform

Bensmail, H., Golek, J., Moody, M. M., Semmes, J. O. & Haoudi, A., 15 May 2005, In : Bioinformatics. 21, 10, p. 2210-2224 15 p.

Research output: Contribution to journalArticle

Proteomics
Fourier Analysis
Fast Fourier transform
Fast Fourier transforms
Cluster Analysis
8 Citations (Scopus)

Clustering gene expression data with kernel principal components

Liu, Z., Chen, D., Bensmail, H. & Xu, Y., 1 Apr 2005, In : Journal of Bioinformatics and Computational Biology. 3, 2, p. 303-316 14 p.

Research output: Contribution to journalArticle

Principal Component Analysis
Gene expression
Principal component analysis
Cluster Analysis
Microarrays
5 Citations (Scopus)

Data mining in genomics and proteomics

Bensmail, H. & Haoudi, A., 30 Jun 2005, In : Journal of Biomedicine and Biotechnology. 2005, 2, p. 63-64 2 p.

Research output: Contribution to journalArticle

Data Mining
Genomics
Proteomics
7 Citations (Scopus)

Functional clustering algorithm for high-dimensional proteomics data

Bensmail, H., Aruna, B., Semmes, O. J. & Haoudi, A., 30 Jun 2005, In : Journal of Biomedicine and Biotechnology. 2005, 2, p. 80-86 7 p.

Research output: Contribution to journalArticle

Clustering algorithms
Proteomics
Cluster Analysis
T-cells
Viruses
48 Citations (Scopus)

Gene expression data classification with kernel principal component analysis

Liu, Z., Chen, D. & Bensmail, H., 30 Jun 2005, In : Journal of Biomedicine and Biotechnology. 2005, 2, p. 155-159 5 p.

Research output: Contribution to journalArticle

Principal Component Analysis
Gene expression
Principal component analysis
Gene Expression
Microarray Analysis
2003
10 Citations (Scopus)

Model-based clustering with noise: Bayesian inference and estimation

Bensmail, H. & Meulman, J. J., 1 Jul 2003, In : Journal of Classification. 20, 1, p. 49-76 28 p.

Research output: Contribution to journalArticle

Noise Estimation
Model-based Clustering
Bayesian Estimation
Bayesian inference
Cluster Analysis
30 Citations (Scopus)

Postgenomics: Proteomics and Bioinformatics in Cancer Research

Bensmail, H. & Haoudi, A., 29 Oct 2003, In : Journal of Biomedicine and Biotechnology. 2003, 4, p. 217-230 14 p.

Research output: Contribution to journalArticle

Proteome
Bioinformatics
Computational Biology
Proteomics
Genes
1997
119 Citations (Scopus)

Inference in model-based cluster analysis

Bensmail, H., Celeux, G., Raftery, A. E. & Robert, C. P., 1 Dec 1997, In : Statistics and Computing. 7, 1, p. 1-10 10 p.

Research output: Contribution to journalArticle

Cluster analysis
Cluster Analysis
Model-based
Relocation
Normal distribution
1996
112 Citations (Scopus)

Regularized Gaussian discriminant analysis through eigenvalue decomposition

Bensmail, H. & Celeux, G., 1 Dec 1996, In : Journal of the American Statistical Association. 91, 436, p. 1743-1748 6 p.

Research output: Contribution to journalArticle

Eigenvalue Decomposition
Discriminant Analysis
Classifier
Model Discrimination
Reparameterization