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Results 1-10 of 46 (Search time: 0.003 seconds).
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Issue Date
Title
Author(s)
2013
Identification and expression analysis of TLPs as candidate genes promoting the responses to both biotic and abiotic stresses in wheat
Deihimi, T.
;
Niazi, A.
;
Ebrahimie, E.
2012
Application of unsupervised weighting algorithms for identifying important attributes and factors contributing to grain and biological yields of wheat
Bijanzadeh, E.
;
Emam, Y.
;
Ebrahimie, E.
;
Ebrahimi, M.
2012
Genome-wide analysis of cytosolic and chloroplastic isoforms of glutathione reductase in plant cells
Tahmasebi, A.
;
Aram, F.
;
Ebrahimi, M.
;
Mohammadi Dehcheshmeh, M.
;
Ebrahimie, E.
2011
A 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 profiling
Baseri, S.
;
Towhidi, M.
;
Ebrahimie, E.
2014
Prediction of potential cancer-risk regions based on transcriptome data: towards a comprehensive view
Alisoltani, A.
;
Fallahi, H.
;
Ebrahimi, M.
;
Ebrahimi, M.
;
Ebrahimie, E.
;
Coleman, W.
2014
Understanding the undelaying mechanism of HASubtyping in the level of physic-chemal characteristics of protein
Ebrahimi, M.
;
Aghagolzadeh, P.
;
Shamabadi, N.
;
Tahmasebi, A.
;
Alsharifi, M.
;
Adelson, D.
;
Hemmatzadeh, F.
;
Ebrahimie, E.
;
Tompkins, S.
2014
De novo transcriptome assembly and comparative analysis of differentially expressed genes in Prunus dulcis Mill. in response to freezing stress
Mousavi, S.
;
Alisoltani, A.
;
Shiran, B.
;
Fallahi, H.
;
Ebrahimie, E.
;
Imani, A.
;
Houshmand, S.
;
Gibas, C.
2014
Determining the most important physiological and agronomic traits contributing to maize grain yield through machine learning algorithms: a new avenue in intelligent agriculture
Shekoofa, A.
;
Emam, Y.
;
Shekoufa, N.
;
Ebrahimi, M.
;
Ebrahimie, E.
;
Anisimova, M.
2011
Protein attributes contribute to halo-stability, bioinformatics approach
Ebrahimie, E.
;
Ebrahimi, M.
;
Sarvestani, N.
;
Ebrahimi, M.
2014
Using the zebrafish model for Alzheimer's disease research
Newman, M.
;
Ebrahimie, E.
;
Lardelli, M.
Discover
Author
16
Ebrahimi, M.
6
Bakhtiarizadeh, M.
6
Niazi, A.
5
Adelson, D.
5
Deihimi, T.
5
Fallahi, H.
4
Alisoltani, A.
4
Mahdi, L.
4
Ogunniyi, A.
4
Paton, J.
.
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Subject
7
Animals
6
Female
5
Humans
4
Computational Biology
4
Gene Regulatory Networks
3
Algorithms
3
Decision Trees
3
Expressed Sequence Tags
3
Gene Expression Profiling
3
Genes, Plant
.
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