1. Adelaide Research & Scholarship

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Results 1-10 of 37 (Search time: 0.004 seconds).
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PreviewIssue DateTitleAuthor(s)
2013Identification and expression analysis of TLPs as candidate genes promoting the responses to both biotic and abiotic stresses in wheatDeihimi, T.; Niazi, A.; Ebrahimie, E.
2012Application of unsupervised weighting algorithms for identifying important attributes and factors contributing to grain and biological yields of wheatBijanzadeh, E.; Emam, Y.; Ebrahimie, E.; Ebrahimi, M.
2012Genome-wide analysis of cytosolic and chloroplastic isoforms of glutathione reductase in plant cellsTahmasebi, A.; Aram, F.; Ebrahimi, M.; Mohammadi Dehcheshmeh, M.; Ebrahimie, E.
2011A modified efficient empirical Bayes regression model for predicting phenomena with a large number of independent variables and fewer observations; examples of its application in human disease, protein bioinformatics, and microarray gene expression profilingBaseri, S.; Towhidi, M.; Ebrahimie, E.
2014Understanding the undelaying mechanism of HASubtyping in the level of physic-chemal characteristics of proteinEbrahimi, M.; Aghagolzadeh, P.; Shamabadi, N.; Tahmasebi, A.; Alsharifi, M.; Adelson, D.; Hemmatzadeh, F.; Ebrahimie, E.; Tompkins, S.
2014Determining the most important physiological and agronomic traits contributing to maize grain yield through machine learning algorithms: a new avenue in intelligent agricultureShekoofa, A.; Emam, Y.; Shekoufa, N.; Ebrahimi, M.; Ebrahimie, E.; Anisimova, M.
2011Protein attributes contribute to halo-stability, bioinformatics approachEbrahimie, E.; Ebrahimi, M.; Sarvestani, N.; Ebrahimi, M.
2011Amino acid features of P1B-ATPase heavy metal transporters enabling small numbers of organisms to cope with heavy metal pollutionAshrafi, E.; Alemzadeh, A.; Ebrahimi, M.; Ebrahimie, E.; Dadkhodaei, N.; Ebrahimi, M.
2018The magnitude of androgen receptor positivity in breast cancer is critical for reliable prediction of disease outcomeRicciardelli, C.; Bianco-Miotto, T.; Jindal, S.; Butler, L.; Leung, S.; McNeil, C.; O'Toole, S.; Ebrahimie, E.; Millar, E.; Sakko, A.; Ruiz, A.; Vowler, S.; Hunstman, D.; Birrell, S.; Sutherland, R.; Palmieri, C.; Hickey, T.; Tilley, W.
2015A novel pairwise comparison method for in silico discovery of statistically significant cis-regulatory elements in eukaryotic promoter regions: application to ArabidopsisShamloo-Dashtpagerdi, R.; Razi, H.; Aliakbari, M.; Lindlöf, A.; Ebrahimi, M.; Ebrahimie, E.

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