Blar i NTNU Open på forfatter "Ehsani, Rezvan"
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A property-based analysis of human transcription factors
Bahrami, Shahram; Ehsani, Rezvan; Drabløs, Finn (Journal article; Peer reviewed, 2015)Background Transcription factors are essential proteins for regulating gene expression. This regulation depends upon specific features of the transcription factors, including how they interact with DNA, how they interact ... -
Enhanced identification of significant regulators of gene expression
Ehsani, Rezvan; Drabløs, Finn (Peer reviewed; Journal article, 2020)Background Diseases like cancer will lead to changes in gene expression, and it is relevant to identify key regulatory genes that can be linked directly to these changes. This can be done by computing a Regulatory Impact ... -
EpiFactors: A comprehensive database of human epigenetic factors and complexes
Medvedeva, Yulia; Lennartsson, Andreas; Ehsani, Rezvan; Kulakovskiy, Ivan; Vorontsov, Ilya E; Panahandeh, Pouda; Khimulya, Grigory; Kasukawa, Takeya; Drabløs, Finn (Peer reviewed; Journal article, 2015)Epigenetics refers to stable and long-term alterations of cellular traits that are not caused by changes in the DNA sequence per se . Rather, covalent modifications of DNA and histones affect gene expression and genome ... -
Feature-based classification of human transcription factors into hypothetical sub-classes related to regulatory function.
Ehsani, Rezvan; Bahrami, Shahram; Drabløs, Finn Sverre (Peer reviewed; Journal article, 2016)Background Transcription factors are key proteins in the regulation of gene transcription. An important step in this process is the opening of chromatin in order to make genomic regions available for transcription. Data ... -
GAPGOM—an R package for gene annotation prediction using GO metrics
van Mourik, Casper; Ehsani, Rezvan; Drabløs, Finn (Peer reviewed; Journal article, 2021)Objective Properties of gene products can be described or annotated with Gene Ontology (GO) terms. But for many genes we have limited information about their products, for example with respect to function. This is ... -
Measures of co-expression for improved function prediction of long non-coding RNAs
Ehsani, Rezvan; Drabløs, Finn (Journal article; Peer reviewed, 2018)Background Almost 16,000 human long non-coding RNA (lncRNA) genes have been identified in the GENCODE project. However, the function of most of them remains to be discovered. The function of lncRNAs and other novel genes ... -
Robust Distance Measures for kNN Classification of Cancer Data
Ehsani, Rezvan; Drabløs, Finn (Peer reviewed; Journal article, 2020)The k-Nearest Neighbor (kNN) classifier represents a simple and very general approach to classification. Still, the performance of kNN classifiers can often compete with more complex machine-learning algorithms. The core ... -
TopoICSim: A new semantic similarity measure based on gene ontology
Ehsani, Rezvan; Drabløs, Finn Sverre (Peer reviewed; Journal article, 2016)Background The Gene Ontology (GO) is a dynamic, controlled vocabulary that describes the cellular function of genes and proteins according to tree major categories: biological process, molecular function and cellular ... -
Transcription Factor Properties - Machine Learning, Classification and Computational Annotation
Ehsani, Rezvan (Doctoral theses at NTNU;2016:269, Doctoral thesis, 2016)