Somaye Hashemifar
Somaye Hashemifar
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Cited by
NETAL: a new graph-based method for global alignment of protein–protein interaction networks
B Neyshabur, A Khadem, S Hashemifar, SS Arab
Bioinformatics 29 (13), 1654-1662, 2013
Predicting protein–protein interactions through sequence-based deep learning
S Hashemifar, B Neyshabur, AA Khan, J Xu
Bioinformatics 34 (17), i802-i810, 2018
Hubalign: an accurate and efficient method for global alignment of protein–protein interaction networks
S Hashemifar, J Xu
Bioinformatics 30 (17), i438-i444, 2014
Excessive expression of miR-27 impairs Treg-mediated immunological tolerance
LO Cruz, SS Hashemifar, CJ Wu, S Cho, DT Nguyen, LL Lin, AA Khan, ...
The Journal of clinical investigation 127 (2), 530-542, 2017
Differential cell-intrinsic regulations of germinal center B and T cells by miR-146a and miR-146b
S Cho, HM Lee, IS Yu, YS Choi, HY Huang, SS Hashemifar, LL Lin, ...
Nature communications 9 (1), 1-13, 2018
ModuleAlign: module-based global alignment of protein–protein interaction networks
S Hashemifar, J Ma, H Naveed, S Canzar, J Xu
Bioinformatics 32 (17), i658-i664, 2016
Genetic algorithm for dyad pattern finding in DNA sequences
F Zare-Mirakabad, H Ahrabian, M Sadeghi, S Hashemifar, ...
Genes & genetic systems 84 (1), 81-93, 2009
Joint alignment of multiple protein–protein interaction networks via convex optimization
S Hashemifar, Q Huang, J Xu
Journal of Computational Biology 23 (11), 903-911, 2016
Lynx: a knowledge base and an analytical workbench for integrative medicine
D Sulakhe, B Xie, A Taylor, M D'Souza, S Balasubramanian, ...
Nucleic acids research 44 (D1), D882-D887, 2016
PSOMF: An algorithm for pattern discovery using PSO
F Zare-Mirakabad, H Ahrabian, M Sadeghi, J Mohammadzadeh, ...
Proceedings of the Third IAPR International Conferences on Pattern …, 2008
Chemokine expression in the early response to injury in human airway epithelial cells
B Xie, B Laxman, S Hashemifar, R Stern, TC Gilliam, N Maltsev, SR White
Plos one 13 (3), e0193334, 2018
Strategic integration of multiple bioinformatics resources for system level analysis of biological networks
M D’Souza, D Sulakhe, S Wang, B Xie, S Hashemifar, A Taylor, I Dubchak, ...
Biological Networks and Pathway Analysis, 85-99, 2017
A106 EPIDEMIOLOGY AND RISK FACTORS OF ASTHMA: FROM THE CRIB TO ADULTHOOD: Pairwise Interactions Between Clinical, Genetic, Environmental, And Social Factors Are Significantly …
M White, J Magana, O Risse-Adams, M Spear, N Thakur, J An, S Oh, ...
American Journal of Respiratory and Critical Care Medicine 193, 1, 2016
Excessive miR-27 expression impairs regulatory T cell-mediated immunological tolerance
LO Cruz
University of California, San Diego, 2016
Computational prediction and analysis of protein-protein interaction networks
S Hashemifar
arXiv preprint arXiv:1709.01923, 2017
Pseudomonas AerugINOSa Flagellin Stimulates Broad Gene Expression In Human Airway Epithelial Cells That Is Mitigated By Concurrent Treatment With Azithromycin
SR White, B Laxman, S Hashemifar, B Xie, R Stern, N Maltsev
Joint inference of tissue-specific networks with a scale free topology
S Hashemifar, B Neyshabur, J Xu
2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2015
1 Chernoff bounds recap
MT Scribe, S Hashemifar
Analysis of tissue-specific co-expression networks
S Hashemifar, D Boernigen, N Maltsev, J Xu
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