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Mahdi Vasighi

Showing results (1-10 of 12) with videos related to

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Amino Acids|October 26, 2016
Structural classification of proteins using texture descriptors extracted from the cellular automata imageHamidreza Kavianpour, Mahdi Vasighi
Analytica Chimica Acta|February 16, 2013
Effects of supervised Self Organising Maps parameters on classification performanceDavide Ballabio, Mahdi Vasighi, Peter Filzmoser
Computational Biology and Chemistry|May 16, 2022
A multilevel approach for screening natural compounds as an antiviral agent for COVID-19Mahdi Vasighi, Julia Romanova, Miroslava Nedyalkova
Chemosphere|April 14, 2025
Integrating surface chemistry properties and machine learning to map the toxicity landscape of superparamagnetic iron oxide nanoparticlesMiroslava Nedkyalkova, Mahdi Vasighi, Marco Lattuada
Plos One|October 13, 2023
Discovering SNP-disease relationships in genome-wide SNP data using an improved harmony search based on SNP locus and genetic inheritance patternsFariba Esmaeili, Zahra Narimani, Mahdi Vasighi
Chemosphere|November 27, 2021
Persistent organic pollutants (POPs) - QSPR classification models by means of Machine learning strategiesEkaterina Vakarelska, Miroslava Nedyalkova, Mahdi Vasighi, et al.
Molecular Biosystems|April 15, 2016
Oblique rotation of factors: a novel pattern recognition strategy to classify fluorescence excitation-emission matrices of human blood plasma for early diagnosis of colorectal cancerMohammad Shahbazy, Mahdi Vasighi, Mohsen Kompany-Zareh, et al.
ACS Omega|February 6, 2023
Sequence-Based Prediction of Plant Allergenic Proteins: Machine Learning Classification ApproachMiroslava Nedyalkova, Mahdi Vasighi, Amirreza Azmoon, et al.
Pharmaceuticals (Basel, Switzerland)|December 28, 2021
Inhibition Ability of Natural Compounds on Receptor-Binding Domain of SARS-CoV2: An In Silico ApproachMiroslava Nedyalkova, Mahdi Vasighi, Subrahmanyam Sappati, et al.
Talanta|May 6, 2010
Nuclear magnetic resonance-based screening of thalassemia and quantification of some hematological parameters using chemometric methodsMohammad Arjmand, Mohsen Kompany-Zareh, Mahdi Vasighi, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Amino Acids|October 26, 2016
Structural classification of proteins using texture descriptors extracted from the cellular automata imageHamidreza Kavianpour, Mahdi Vasighi
Analytica Chimica Acta|February 16, 2013
Effects of supervised Self Organising Maps parameters on classification performanceDavide Ballabio, Mahdi Vasighi, Peter Filzmoser
Computational Biology and Chemistry|May 16, 2022
A multilevel approach for screening natural compounds as an antiviral agent for COVID-19Mahdi Vasighi, Julia Romanova, Miroslava Nedyalkova
Chemosphere|April 14, 2025
Integrating surface chemistry properties and machine learning to map the toxicity landscape of superparamagnetic iron oxide nanoparticlesMiroslava Nedkyalkova, Mahdi Vasighi, Marco Lattuada
Plos One|October 13, 2023
Discovering SNP-disease relationships in genome-wide SNP data using an improved harmony search based on SNP locus and genetic inheritance patternsFariba Esmaeili, Zahra Narimani, Mahdi Vasighi
Chemosphere|November 27, 2021
Persistent organic pollutants (POPs) - QSPR classification models by means of Machine learning strategiesEkaterina Vakarelska, Miroslava Nedyalkova, Mahdi Vasighi, et al.
Molecular Biosystems|April 15, 2016
Oblique rotation of factors: a novel pattern recognition strategy to classify fluorescence excitation-emission matrices of human blood plasma for early diagnosis of colorectal cancerMohammad Shahbazy, Mahdi Vasighi, Mohsen Kompany-Zareh, et al.
ACS Omega|February 6, 2023
Sequence-Based Prediction of Plant Allergenic Proteins: Machine Learning Classification ApproachMiroslava Nedyalkova, Mahdi Vasighi, Amirreza Azmoon, et al.
Pharmaceuticals (Basel, Switzerland)|December 28, 2021
Inhibition Ability of Natural Compounds on Receptor-Binding Domain of SARS-CoV2: An In Silico ApproachMiroslava Nedyalkova, Mahdi Vasighi, Subrahmanyam Sappati, et al.
Talanta|May 6, 2010
Nuclear magnetic resonance-based screening of thalassemia and quantification of some hematological parameters using chemometric methodsMohammad Arjmand, Mohsen Kompany-Zareh, Mahdi Vasighi, et al.
Pageof 2