Vida Ravanmehr
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The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species
KA Shefchek, NL Harris, M Gargano, N Matentzoglu, D Unni, M Brush, ...
Nucleic acids research 48 (D1), D704-D715, 2020
KG-COVID-19: a framework to produce customized knowledge graphs for COVID-19 response
J Reese, D Unni, T Callahan, L Cappelletti, V Ravanmehr, S Carbon, ...
Patterns 2 (1), 2021
Interpretable Clinical Genomics with a Likelihood Ratio Paradigm
P Robinson, V Ravanmehr, J Jacobson, D Danis, XA Zhang, L Carmody, ...
American Journal of Human Genetics 107 (3), 403-417, 2020
Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery
XA Zhang, A Yates, N Vasilevsky, JP Gourdine, TJ Callahan, LC Carmody, ...
NPJ digital medicine 2 (1), 32, 2019
An information theoretic approach to constructing robust Boolean gene regulatory networks
B Vasic, V Ravanmehr, AR Krishnan
IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (1), 52-65, 2011
Interval-passing algorithm for non-negative measurement matrices: Performance and reconstruction analysis
V Ravanmehr, L Danjean, B Vasic, D Declercq
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 2 (3 …, 2012
GRAPE for fast and scalable graph processing and random-walk-based embedding
L Cappelletti, T Fontana, E Casiraghi, V Ravanmehr, TJ Callahan, ...
Nature Computational Science 3 (6), 552-568, 2023
Fault-resilient decoders and memories made of unreliable components
B Vasić, P Ivanis, S Brkic, V Ravanmehr
2015 Information Theory and Applications Workshop (ITA), 136-142, 2015
Prolonged cytopenia following CD19 CAR T cell therapy is linked with bone marrow infiltration of clonally expanded IFNγ-expressing CD8 T cells
P Strati, X Li, Q Deng, ML Marques-Piubelli, J Henderson, G Watson, ...
Cell Reports Medicine 4 (8), 2023
GraPE: fast and scalable Graph Processing and Embedding
L Cappelletti, T Fontana, E Casiraghi, V Ravanmehr, T Callahan, ...
Perturbation of effector and regulatory T cell subsets in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
E Carhan, C Gunter, V Ravanmehr, M Horne, L Kozhaya, S Renzullo, ...
bioRxiv, 2019
On iterative compressed sensing reconstruction of sparse non-negative vectors
V Ravanmehr, L Danjean, D Declercq, B Vasić
Proceedings of the 4th International Symposium on Applied Sciences in …, 2011
KG-Hub—building and exchanging biological knowledge graphs
JH Caufield, T Putman, K Schaper, DR Unni, H Hegde, TJ Callahan, ...
Bioinformatics 39 (7), btad418, 2023
Supervised learning with word embeddings derived from PubMed captures latent knowledge about protein kinases and cancer
V Ravanmehr, H Blau, L Cappelletti, T Fontana, L Carmody, B Coleman, ...
NAR genomics and bioinformatics 3 (4), lqab113, 2021
ChIPWig: a random access-enabling lossless and lossy compression method for ChIP-seq data
V Ravanmehr, M Kim, Z Wang, O Milenković
Bioinformatics 34 (6), 911-919, 2018
Check-hybrid GLDPC codes without small trapping sets
V Ravanmehr, D Declercq, B Vasic
2014 Information Theory and Applications Workshop (ITA), 1-9, 2014
Iterative reconstruction algorithms in compressed sensing
L Danjean, V Ravanmehr, D Declercq, B Vasić
2011 19thTelecommunications Forum (TELFOR) Proceedings of Papers, 537-541, 2011
Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding
G Valentini, E Casiraghi, L Cappelletti, V Ravanmehr, T Fontana, J Reese, ...
bioRxiv:, 2021
GBP-based detection and symmetric information rate for rectangular-grain TDMR model
M Khatami, V Ravanmehr, B Vasić
2014 IEEE International Symposium on Information Theory, 1618-1622, 2014
Paired threshold graphs
V Ravanmehr, GJ Puleo, S Bolouki, O Milenković
Discrete Applied Mathematics 250, 291-308, 2018
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