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Somaye Hashemifar
Somaye Hashemifar
Unknown affiliation
Verified email at gene.com
Title
Cited by
Cited by
Year
Predicting protein–protein interactions through sequence-based deep learning
S Hashemifar, B Neyshabur, AA Khan, J Xu
Bioinformatics 34 (17), i802-i810, 2018
3222018
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
2082013
Hubalign: an accurate and efficient method for global alignment of protein–protein interaction networks
S Hashemifar, J Xu
Bioinformatics 30 (17), i438-i444, 2014
1372014
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), 2757, 2018
652018
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
602017
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
512016
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
262016
Novel candidate genes in esophageal atresia/tracheoesophageal fistula identified by exome sequencing
J Wang, PR Ahimaz, S Hashemifar, J Khlevner, JA Picoraro, ...
European Journal of Human Genetics 29 (1), 122-130, 2021
212021
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
102018
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
82016
DeepAD: A Robust Deep Learning Model of Alzheimer's Disease Progression for Real-World Clinical Applications
S Hashemifar, C Iriondo, E Casey, M Hejrati
arXiv preprint arXiv:2203.09096, 2022
72022
Automated detection of progressive speech changes in early Alzheimer's disease
J Robin, M Xu, A Balagopalan, J Novikova, L Kahn, A Oday, M Hejrati, ...
Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 15 (2 …, 2023
62023
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
32017
Multiclass Semantic Segmentation to Identify Anatomical Sub-Regions of Brain and Measure Neuronal Health in Parkinson's Disease
H Barzekar, H Ngu, HH Lin, M Hejrati, SR Valdespino, S Chu, B Bingol, ...
arXiv preprint arXiv:2301.02925, 2023
22023
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in $ text {Parkinson's Disease
F Haghighi, S Ghosh, H Ngu, S Chu, H Lin, M Hejrati, B Bingol, ...
arXiv preprint, 2023
22023
Characterizing progressive speech changes in prodromal-to-mild Alzheimer’s disease using natural language processing
J Robin, M Xu, A Balagopalan, J Novikova, L Kahn, A Oday, M Hejrati, ...
Alzheimers Dement 18, e063244, 2022
22022
Multiclass semantic segmentation mediated neuropathological readout in Parkinson's disease
H Barzekar, H Ngu, HH Lin, M Hejrati, SR Valdespino, S Chu, B Bingol, ...
Neuroscience Informatics 3 (2), 100131, 2023
12023
Self-supervised Learning for Segmentation and Quantification of Dopamine Neurons in Parkinson's Disease
F Haghighi, S Ghosh, H Ngu, S Chu, H Lin, M Hejrati, B Bingol, ...
arXiv preprint arXiv:2301.08141, 2023
12023
ASSOCIATION BETWEEN SPEECH CHARACTERISTICS AND CORTICAL [18F] GTP1 TAU PET TAU LEVELS IN PRODROMAL-TO-MILD ALZHEIMER’S DISEASE
J Robin, M Xu, A Balagopalan, J Novikova, S Hashemifar, A Oday, L Kahn, ...
International Conference on Alzheimer's and Parkinson's Diseases and related …, 2022
12022
Computational prediction and analysis of protein-protein interaction networks
S Hashemifar
arXiv preprint arXiv:1709.01923, 2017
12017
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