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Finding influential users for different time bounds in social networks using multi-objective optimization (2018)
Journal Article
Mohammadi, A., & Saraee, M. (2018). Finding influential users for different time bounds in social networks using multi-objective optimization. Swarm and Evolutionary Computation, 40, 158-165. https://doi.org/10.1016/j.swevo.2018.02.003

Online social networks play an important role in marketing services. Influence maximization is a major challenge, in which the goal is to find the most influential users in a social network. Increasing the number of influenced users at the end of a d... Read More about Finding influential users for different time bounds in social networks using multi-objective optimization.

Identification of disease-causing genes using microarray data mining and gene ontology (2011)
Journal Article
Mohammadi, A., Saraee, M., & Salehi, M. (2011). Identification of disease-causing genes using microarray data mining and gene ontology. BMC Medical Genomics, 4(12), 1-9. https://doi.org/10.1186/1755-8794-4-12

Background: One of the best and most accurate methods for identifying disease-causing genes is monitoring gene expression values in different samples using microarray technology. One of the shortcomings of microarray data is that they provide a small... Read More about Identification of disease-causing genes using microarray data mining and gene ontology.

Estimating missing value in microarray data using fuzzy clustering and gene ontology (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, November). Estimating missing value in microarray data using fuzzy clustering and gene ontology. Presented at IEEE International Conference on Bioinformatics and Biomedicine, 2008. BIBM '08., Philadelphia, PA, USA,

Microarray experiments usually generate data sets with multiple missing expression values, due to several problems. In this paper, a new and robust method based on fuzzy clustering and gene ontology is proposed to estimate missing values in microarra... Read More about Estimating missing value in microarray data using fuzzy clustering and gene ontology.

Dealing with missing values in microarray data (2008)
Presentation / Conference
Mohammadi, A., & Saraee, M. (2008, October). Dealing with missing values in microarray data. Presented at 4th IEEE International Conference on Emerging Technologies, 2008. ICET 2008, Rawalpindi, Pakistan,

Gene expression profiling plays an important role in a broad range of areas in biology. The raw gene expression data, may contain missing values. It is an important preprocessing step to accurately estimate missing values in microarray data, because... Read More about Dealing with missing values in microarray data.