Mitra Mirzarezaee
Department of Computer Engineering, Science and Research Branch , Islamic Azad University, Tehran, Iran
[ 1 ] - Construction and Analysis of Tissue-Specific Protein-Protein Interaction Networks in Humans
We have studied the changes in protein-protein interaction network of 38 different tissues of the human body. 123 gene expression samples from these tissues were used to construct human protein-protein interaction network. This network is then pruned using the gene expression samples of each tissue to construct different protein-protein interaction networks corresponding to different studied ti...
[ 2 ] - پیش‌بینی تراوایی سنگ مخزن با استفاده از روش‌های عدم قطعیت: سیستم فازی نوع دو
تراوایی یا نفوذپذیری خاصیتی از سنگ مخزن است که به جریان سیال از سنگ مخزن می‌پردازد و از فاکتورهای مهم در تولید نفت و گاز از مخزن به حساب می‌آید. این پارامتر در شرایط آزمایشگاهی از طریق مغزه‌گیری به دست می‌آید که روشی پرهزینه و زمان‌بر است و همچنین برای همه چاه‌های موجود در یک میدان نفتی امکان‌پذیر نیست. امروزه این پارامتر را با استفاده از داده‌های لاگ پتروفیزیکی به روش‌های آماری و هوشمند محاسبه...
[ 3 ] - Prediction of Protein Sub-Mitochondria Locations Using Protein Interaction Networks
Background: Prediction of the protein localization is among the most important issues in the bioinformatics that is used for the prediction of the proteins in the cells and organelles such as mitochondria. In this study, several machine learning algorithms are applied for the prediction of the intracellular protein locations. These algorithms use the features extracted from pro...
[ 4 ] - Malware Detection using Classification of Variable-Length Sequences
In this paper, a novel method based on the graph is proposed to classify the sequence of variable length as feature extraction. The proposed method overcomes the problems of the traditional graph with variable length of data, without fixing length of sequences, by determining the most frequent instructions and insertion the rest of instructions on the set of “other”, save speed and memory. Acco...
[ 5 ] - Hybrid Recommender System Based on Variance Item Rating
K-nearest neighbors (KNN) based recommender systems (KRS) are among the most successful recent available recommender systems. These methods involve in predicting the rating of an item based on the mean of ratings given to similar items, with the similarity defined by considering the mean rating given to each item as its feature. This paper presents a KRS developed by combining the following app...
[ 6 ] - Development of a Pharmacogenomics Model based on Support Vector Regression with Optimal Features Selection Approach to Determine the Initial Therapeutic Dose of Warfarin Anticoagulant Drug
Introduction: Using artificial intelligence tools in pharmacogenomics is one of the latest bioinformatics research fields. One of the most important drugs that determining its initial therapeutic dose is difficult is the anticoagulant warfarin. Warfarin is an oral anticoagulant that, due to its narrow therapeutic window and complex interrelationships of individual factors, the selection of its ...
[ 7 ] - Development of a Pharmacogenomics Model based on Support Vector Regression with Optimal Features Selection Approach to Determine the Initial Therapeutic Dose of Warfarin Anticoagulant Drug
Introduction: Using artificial intelligence tools in pharmacogenomics is one of the latest bioinformatics research fields. One of the most important drugs that determining its initial therapeutic dose is difficult is the anticoagulant warfarin. Warfarin is an oral anticoagulant that, due to its narrow therapeutic window and complex interrelationships of individual factors, the selection of its ...