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Browsing "Animal and Veterinary Sciences publications" by Author Ebrahimie, E.

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PreviewIssue DateTitleAuthor(s)
2019A comparative system-level analysis of the neurodegenerative diseasesGodini, R.; Fallahi, H.; Ebrahimie, E.
2018A large-scale study of indicators of sub-clinical mastitis in dairy cattle by attribute weighting analysis of milk composition features: highlighting the predictive power of lactose and electrical conductivityEbrahimie, E.; Ebrahimi, F.; Ebrahimi, M.; Tomlinson, S.; Petrovski, K.R.
2010Application of bioinformatics algorithms to define the most important protein features contribute to GABA receptors diversityEbrahimi, M.; Ebrahimie, E.; International Conference on Chemical, Biological and Environmental Engineering (2nd : 2010 : Cairo, Egypt)
2009Application of neural networks methods to define the most important features contributing to xylanase enzyme thermostabilityEbrahimi, M.; Ebrahimie, E.; Ebrahimi, M.; Deihimi, T.; Delavari, A.; Mohammadi-Dehcheshmeh, M.; IEEE Congress on Evolutionary Computation (2009 : Trondheim, Norway)
2011Application of supervised feature selection methods to define the most important traits affecting maximum kernel water content in maizeShekoofa, A.; Emam, Y.; Ebrahimi, M.; Ebrahimie, E.
2010Are there any differences between features of proteins expressed in malignant and benign breast cancers?Ebrahimi, M.; Ebrahimie, E.; Shamabadi, N.; Ebrahimi, M.
2011Bioinformatics and protein engineering; presenting a few applications employed in our labsEbrahimi, M.; Ebrahimie, E.; Tahmasebi, A.; Sarvestani, N.; Deihimi, T.; Mahadevan, V.; Yu, W.; Zhou, J.; International Conference on Machine Learning and Computing (2009 : Perth, Western Australia)
2018Changes in microsatellite motifs in response to abiotic stresses: a case study using wheat and rice RNA-sequencing dataAlisoltani, A.; Shiran, B.; Sarvestani, N.; Fallahi, H.; Feto, N.; Ebrahimie, E.
2010Determining the most important features contributing to wheat grain yield using supervised feature selection modelBijanzadeh, E.; Emam, Y.; Ebrahimie, E.
2015Development of an improved Streptococcus uberis experimental mastitis challenge model using different doses and strains in lactating dairy cowsKhazandi, M.; Eats, P.; Trott, D.; Ebrahimie, E.; Perry, J.; Hickey, E.; Page, S.; Garg, S.; Petrovski, K.
2011Engineering thermostable enzymes; application of unsupervised clustering algorithmsLakizadeh, A.; Agha-Golzadeh, P.; Ebrahimi, M.; Ebrahimie, E.; Ebrahimi, M.
2016Epitope mapping of avian influenza m2e protein: different species recognise various epitopesHasan, N.; Ebrahimie, E.; Ignjatovic, J.; Tarigan, S.; Peaston, A.; Hemmatzadeh, F.; Kang, S.
2009Evidence that estrogen mediates the positive feedback effect on GnRHShirazi, M.; Ebrahimie, E.
2018Field effectiveness of highly pathogenic avian influenza H5N1 vaccination in commercial layers in IndonesiaTarigan, S.; Wibowo, M.; Indriani, R.; Sumarningsih, S.; Artanto, S.; Idris, S.; Durr, P.; Asmara, W.; Ebrahimie, E.; Stevenson, M.; Ignjatovic, J.; Cao, Y.
2020Genomic analysis of fluoroquinolone-susceptible phylogenetic group B2 extraintestinal pathogenic Escherichia coli causing infections in catsKidsley, A.K.; O'Dea, M.; Ebrahimie, E.; Mohammadi Dehcheshmeh, M.; Saputra, S.; Jordan, D.; Johnson, J.R.; Gordon, D.; Turni, C.; Djordjevic, S.P.; Abraham, S.; Trott, D.J.
2018Hierarchical pattern recognition in milking parameters predicts mastitis prevalenceEbrahimie, E.; Ebrahimi, F.; Ebrahimi, M.; Tomlinson, S.; Petrovski, K.
2018Identifying key factors of student academic performance by subgroup discoveryHelal, S.; Li, J.; Liu, L.; Ebrahimie, E.; Dawson, S.; Murray, D.J.
2015Interaction between Bovine leukemia virus (BLV) infection and age on telomerase misregulationHemmatzadeh, F.; Keyvanfar, H.; Hasan, N.; Niap, F.; Bani Hassan, E.; Hematzade, A.; Ebrahimie, E.; McWhorter, A.; Ignjatovic, J.
2010Investigating protein features contribute to salt stability of halolysin proteinsEbrahimie, E.; Ebrahimi, M.; Sarvestani, N.
2014Multimeric recombinant M2e protein-based ELISA: A significant improvement in differentiating avian influenza infected chickens from vaccinated onesHadifar, F.; Ignjatovic, J.; Tarigan, S.; Indriani, R.; Ebrahimie, E.; Haliza Hasan, N.; McWhorter, A.; Putland, S.; Ownagh, A.; Hemmatzadeh, F.; Tompkins, S.M.
Showing results 1 to 20 of 24  next >