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Susan Dina Ghiassian
Susan Dina Ghiassian
Scipher Medicine
Verified email at sciphermedicine.com
Title
Cited by
Cited by
Year
Uncovering disease-disease relationships through the incomplete interactome
J Menche, A Sharma, M Kitsak, SD Ghiassian, M Vidal, J Loscalzo, ...
Science 347 (6224), 1257601, 2015
15052015
A proteome-scale map of the human interactome network
T Rolland, M Taşan, B Charloteaux, SJ Pevzner, Q Zhong, N Sahni, S Yi, ...
Cell 159 (5), 1212-1226, 2014
15012014
Network medicine framework for identifying drug-repurposing opportunities for COVID-19
D Morselli Gysi, Í Do Valle, M Zitnik, A Ameli, X Gan, O Varol, ...
Proceedings of the National Academy of Sciences 118 (19), e2025581118, 2021
4752021
A DIseAse MOdule Detection (DIAMOnD) algorithm derived from a systematic analysis of connectivity patterns of disease proteins in the human interactome
SD Ghiassian, J Menche, AL Barabási
PLoS computational biology 11 (4), e1004120, 2015
4222015
A disease module in the interactome explains disease heterogeneity, drug response and captures novel pathways and genes in asthma
A Sharma, J Menche, CC Huang, T Ort, X Zhou, M Kitsak, N Sahni, ...
Human molecular genetics 24 (11), 3005-3020, 2015
2152015
Tissue specificity of human disease module
M Kitsak, A Sharma, J Menche, E Guney, SD Ghiassian, J Loscalzo, ...
Scientific reports 6 (1), 35241, 2016
1142016
Endophenotype network models: common core of complex diseases
SD Ghiassian, J Menche, DI Chasman, F Giulianini, R Wang, P Ricchiuto, ...
Scientific reports 6 (1), 27414, 2016
902016
Clinical validation of a blood-based predictive test for stratification of response to tumor necrosis factor inhibitor therapies in rheumatoid arthritis patients
T Mellors, JB Withers, A Ameli, A Jones, M Wang, L Zhang, HN Sanchez, ...
Network and Systems Medicine 3 (1), 91-104, 2020
382020
A molecular signature response classifier to predict inadequate response to tumor necrosis factor-α inhibitors: the NETWORK-004 prospective observational study
S Cohen, AF Wells, JR Curtis, R Dhar, T Mellors, L Zhang, JB Withers, ...
Rheumatology and Therapy 8 (3), 1159-1176, 2021
242021
Network medicine framework for identifying drug repurposing opportunities for COVID-19. ArXiv
DM Gysi, Í Do Valle, M Zitnik, A Ameli, X Gan, O Varol, H Sanchez, ...
arXiv preprint arXiv:2004.07229, 2020
162020
NHLBI-CMREF Workshop Report on Pulmonary Vascular Disease Classification: JACC State-of-the-Art Review
WM Oldham, AR Hemnes, MA Aldred, J Barnard, EL Brittain, SY Chan, ...
Journal of the American College of Cardiology 77 (16), 2040-2052, 2021
142021
Network medicine framework for identifying drug repurposing opportunities for COVID-19. arXiv 2020
DM Gysi, ÍD Valle, M Zitnik, A Ameli, X Gan, O Varol, H Sanchez, ...
arXiv preprint arXiv:2004.07229, 2004
122004
System and Methods for Disease Module Detection
S Ghiassian, J Menche, A Sharma, AL Barabasi
US Patent App. 15/023,582, 2016
82016
System and Methods for Disease Module Detection
S Ghiassian, J Menche, A Sharma, AL Barabasi
US Patent App. 15/913,826, 2019
62019
The module triad: A novel network biology approach to utilize patients’ multi-omics data for target discovery in ulcerative colitis
I Voitalov, L Zhang, C Kilpatrick, JB Withers, A Saleh, VR Akmaev, ...
Scientific Reports 12 (1), 21685, 2022
52022
Method of treating a subject suffering from rheumatoid arthritis with anti-TNF therapy based on a trained machine learning classifier
SD Ghiassian, TR Mellors, M Santolini, A Ameli, N Schoenbrunner, ...
US Patent 11,195,595, 2021
52021
Network medicine framework for identifying drug repurposing opportunities for covid-19 (2020)
DM Gysi, Í Do Valle, M Zitnik, A Ameli, X Gan, O Varol, H Sanchez, ...
arXiv preprint arXiv:2004.07229, 2004
52004
Methods and systems for predicting response to anti-TNF therapies
KJ Johnson, SD Ghiassian
US Patent 11,198,727, 2021
42021
System And Methods For Disease Module Detection
S Ghiassian, J Menche, A Sharma, AL Barábasi
US Patent App. 17/812,954, 2022
32022
Methods of treating a subject suffering from rheumatoid arthritis based in part on a trained machine learning classifier
S Ghiassian, TR Mellors, M Santolini, A Ameli, N Schoenbrunner, ...
US Patent 11,456,056, 2022
32022
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