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Journal of Chromatography. A|December 29, 2000
Prediction of thermal conductivity detection response factors using an artificial neural networkM Jalali-Heravi, M H FatemiCell|August 29, 1986
Hydrophilic anchor-deficient Thy-1 is secreted by a class E mutant T lymphomaS H Fatemi, A M TartakoffCerebellum (London, England)|September 9, 2005
Glial fibrillary acidic protein is elevated in superior frontal, parietal and cerebellar cortices of autistic subjectsJ A Laurence, S H FatemiJournal of Chromatography. A|May 19, 2001
Artificial neural network modeling of Kováts retention indices for noncyclic and monocyclic terpenesM Jalali-Heravi, M H FatemiThe Journal of Biological Chemistry|January 25, 1988
The phenotype of five classes of T lymphoma mutants. Defective glycophospholipid anchoring, rapid degradation, and secretion of Thy-1 glycoproteinS H Fatemi, A M TartakoffJournal of Separation Science|January 23, 2009
Prediction of supercritical fluid chromatographic retention factors at different percents of organic modifiers in mobile phaseMohammad H Fatemi, Hanieh Malekzadeh, Hoda ShamseddinEcotoxicology and Environmental Safety|October 31, 2012
Elicitation of the most important structural properties of ionic liquids affecting ecotoxicity in limnic green algae; a QSAR approachParisa Izadiyan, M H Fatemi, Mahsa IzadiyanJournal of Theoretical Biology|January 21, 2015
QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptorsMohammad H Fatemi, Afsane Heidari, Sajjad GharaghaniJournal of Chromatographic Science|May 22, 2008
Prediction of Kovats retention indices of some aliphatic aldehydes and ketones on some stationary phases at different temperatures using artificial neural networkElaheh Konoz, Mohammad H Fatemi, Razieh FarajiSAR and QSAR in Environmental Research|November 17, 2009
Prediction of biomagnification factors for some organochlorine compounds using linear free energy relationship parameters and artificial neural networksM H Fatemi, M H Abraham, M HaghdadiPageof 9