Name
Affiliation
Papers
MOHAMMED AL-SHALALFA
Univ Calgary, Dept Comp Sci, Calgary, AB T2N 1N4, Canada
22
Collaborators
Citations 
PageRank 
18
124
10.26
Referers 
Referees 
References 
380
581
236
Search Limit
100581
Title
Citations
PageRank
Year
Prediction of novel drug indications using network driven biological data prioritization and integration.110.552014
Using context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures.90.422013
Protein network-based Lasso regression model for the construction of disease-miRNA functional interactions.00.342013
Detecting microRNAs of high influence on protein functional interaction networks: a prostate cancer case study.10.342012
Detecting cancer outlier genes with potential rearrangement using gene expression data and biological networks.10.362012
MicroRNA Response Elements-Mediated miRNA-miRNA Interactions in Prostate Cancer.30.432012
Integrating protein networks for identifying cooperative miRNA activity in disease gene signatures00.342012
Functional characterization of miRNAs in prostate cancer using functional protein networks.00.342012
Functional characterization of drug-protein interactions network00.342012
Discovering cancer biomarkers: from DNA to communities of genes00.342011
Influence of prior knowledge in constraint-based learning of gene regulatory networks.110.682011
Combining multiple perspective as intelligent agents into robust approach for biomarker detection in gene expression data.10.352011
Efficient Periodicity Mining in Time Series Databases Using Suffix Trees421.332011
Fuzzy clustering-based discretization for gene expression classification120.602010
Multiagent Approach for Identifying Cancer Biomarkers20.382009
Adaptive Machine Learning Technique For Periodicity Detection In Biological Sequences90.502009
Cancer class prediction: Two stage clustering approach to identify informative genes10.372009
Motif Location Prediction by Divide and Conquer10.362008
Effectiveness of fuzzy discretization for class association rule-based classification50.462008
Adapting machine learning technique for periodicity detection in nucleosomal locations in sequences70.502007
Attractive Feature Reduction Approach for Colon Data Classification50.502007
Application of Double Clustering to Gene Expression Data for Class Prediction30.452007