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Results 1-10 of 46 (Search time: 0.003 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.
2014Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive viewAlisoltani, A.; Fallahi, H.; Ebrahimi, M.; Ebrahimi, M.; Ebrahimie, E.; Coleman, W.
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.
2014De novo transcriptome assembly and comparative analysis of differentially expressed genes in Prunus dulcis Mill. in response to freezing stressMousavi, S.; Alisoltani, A.; Shiran, B.; Fallahi, H.; Ebrahimie, E.; Imani, A.; Houshmand, S.; Gibas, C.
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.
2014Using the zebrafish model for Alzheimer's disease researchNewman, M.; Ebrahimie, E.; Lardelli, M.