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 | 1505 | 2015 |
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 | 1501 | 2014 |
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 | 475 | 2021 |
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 | 422 | 2015 |
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 | 215 | 2015 |
Tissue specificity of human disease module M Kitsak, A Sharma, J Menche, E Guney, SD Ghiassian, J Loscalzo, ... Scientific reports 6 (1), 35241, 2016 | 114 | 2016 |
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 | 90 | 2016 |
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 | 38 | 2020 |
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 | 24 | 2021 |
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 | 16 | 2020 |
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 | 14 | 2021 |
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 | 12 | 2004 |
System and Methods for Disease Module Detection S Ghiassian, J Menche, A Sharma, AL Barabasi US Patent App. 15/023,582, 2016 | 8 | 2016 |
System and Methods for Disease Module Detection S Ghiassian, J Menche, A Sharma, AL Barabasi US Patent App. 15/913,826, 2019 | 6 | 2019 |
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 | 5 | 2022 |
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 | 5 | 2021 |
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 | 5 | 2004 |
Methods and systems for predicting response to anti-TNF therapies KJ Johnson, SD Ghiassian US Patent 11,198,727, 2021 | 4 | 2021 |
System And Methods For Disease Module Detection S Ghiassian, J Menche, A Sharma, AL Barábasi US Patent App. 17/812,954, 2022 | 3 | 2022 |
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 | 3 | 2022 |