Mohammed Al-Shalalfa

According to our database1, Mohammed Al-Shalalfa authored at least 30 papers between 2007 and 2014.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2014
Prediction of novel drug indications using network driven biological data prioritization and integration.
J. Cheminformatics, 2014

2013
Protein network-based Lasso regression model for the construction of disease-miRNA functional interactions.
EURASIP J. Bioinformatics and Systems Biology, 2013

Using context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures.
BMC Bioinformatics, 2013

2012
Revealing miRNA Regulation and miRNA Target Prediction Using Constraint-Based Learning.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2012

Functional characterization of drug-protein interactions network.
Intell. Data Anal., 2012

Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study.
BMC Systems Biology, 2012

MicroRNA Response Elements-Mediated miRNA-miRNA Interactions in Prostate Cancer.
Adv. Bioinformatics, 2012

Detecting Cancer Outlier Genes with Potential Rearrangement Using Gene Expression Data and Biological Networks.
Adv. Bioinformatics, 2012

Functional characterization of miRNAs in prostate cancer using functional protein networks.
Proceedings of the 2012 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2012

Integrating protein networks for identifying cooperative miRNA activity in disease gene signatures.
Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012

2011
Efficient Periodicity Mining in Time Series Databases Using Suffix Trees.
IEEE Trans. Knowl. Data Eng., 2011

Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks.
IEEE/ACM Trans. Comput. Biology Bioinform., 2011

Discovering cancer biomarkers: from DNA to communities of genes.
IJNVO, 2011

Combining multiple perspective as intelligent agents into robust approach for biomarker detection in gene expression data.
IJDMB, 2011

2010
Fuzzy clustering-based discretization for gene expression classification.
Knowl. Inf. Syst., 2010

An Integrated Framework for Fuzzy Classification and Analysis of Gene Expression Data.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2009
Identifying Disease-Related Biomarkers by Studying Social Networks of Genes.
Proceedings of the Innovations in Swarm Intelligence, 2009

Data Pattern Tutor for AprioriAll and PrefixSpan.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Adaptive Machine Learning Technique for Periodicity Detection in Biological Sequences.
Int. J. Neural Syst., 2009

Cancer class prediction: Two stage clustering approach to identify informative genes.
Intell. Data Anal., 2009

Multiagent Approach for Identifying Cancer Biomarkers.
Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine, 2009

2008
Effectiveness of Fuzzy Classifier Rules in Capturing Correlations between Genes.
IJDWM, 2008

Effectiveness of Fuzzy Discretization for Class Association Rule-Based Classification.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

Combining multiple types of biological data in constraint-based learning of gene regulatory networks.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2008

Motif Location Prediction by Divide and Conquer.
Proceedings of the Bioinformatics Research and Development, 2008

Combining singular value decomposition and t-test into hybrid approach for significant gene extraction from microarray data.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Adapting Machine Learning Technique for Periodicity Detection in Nucleosomal Locations in Sequences.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Fuzzy Classifier Based Feature Reduction for Better Gene Selection.
Proceedings of the Data Warehousing and Knowledge Discovery, 9th International Conference, 2007

Application of Double Clustering to Gene Expression Data for Class Prediction.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

Attractive Feature Reduction Approach for Colon Data Classification.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007


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