Two Classes of Optimal Stopping Redundancy Codes. - Morteza Esmaeili; Vida Ravanmehr (Ars Comb., 2009)

On iterative compressed sensing reconstruction of sparse non-negative vectors. - Vida Ravanmehr; Ludovic Danjean; David Declercq; Bane Vasic (ISABEL, 2011)

Quasi-cyclic codes exhibiting the gene regulatory network of the cell cycle. - Vida Ravanmehr; Bane Vasic (CIBCB, 2012)

Signal recovery performance of the interval-passing algorithm. - Vida Ravanmehr; Ludovic Danjean; Bane Vasic; David Declercq (ISTC, 2012)

Interval-Passing Algorithm for Non-Negative Measurement Matrices: Performance and Reconstruction Analysis. - Vida Ravanmehr; Ludovic Danjean; Bane Vasic; David Declercq (IEEE J. Emerg. Sel. Topics Circuits Syst., 2012)

An Information Theoretic Approach to Constructing Robust Boolean Gene Regulatory Networks. - Bane Vasic; Vida Ravanmehr; Anantha Raman Krishnan (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

GBP-based detection and symmetric information rate for rectangular-grain TDMR model. - Mehrdad Khatami; Vida Ravanmehr; Bane Vasic (ISIT, 2014)

Check-hybrid GLDPC codes: Systematic elimination of trapping sets by super checks. - Vida Ravanmehr; David Declercq; Bane Vasic (ISIT, 2014)

Check-hybrid GLDPC codes without small trapping sets. - Vida Ravanmehr; David Declercq; Bane Vasic (ITA, 2014)

Fault-resilient decoders and memories made of unreliable components. - Bane Vasic; Predrag Ivanis; Srdan Brkic; Vida Ravanmehr (ITA, 2015)

Codes on Graphs and Analysis of Iterative Algorithms for Reconstructing Sparse Signals and Decoding of Check-Hybrid GLDPC Codes. - Vida Ravanmehr (2015)

Doubly threshold graphs for social network modeling. - Vida Ravanmehr; Sadegh Bolouki; Gregory J. Puleo; Olgica Milenkovic (ITW, 2016)

Check-hybrid GLDPC codes: Systematic elimination of trapping sets and guaranteed error correction capability. - Vida Ravanmehr; Mehrdad Khatami; David Declercq; Bane Vasic (Trans. Emerg. Telecommun. Technol., 2016)

ChIPWig: a random access-enabling lossless and lossy compression method for ChIP-seq data. - Vida Ravanmehr; Minji Kim 007; Zhiying Wang 001; Olgica Milenkovic (Bioinform., 2018)

Paired threshold graphs. - Vida Ravanmehr; Gregory J. Puleo; Sadegh Bolouki; Olgica Milenkovic (Discret. Appl. Math., 2018)

Semantic integration of clinical laboratory tests from electronic health records for deep phenotyping and biomarker discovery. - Xingmin Aaron Zhang; Amy Yates; Nicole A. Vasilevsky; Jean-Philippe F. Gourdine; Tiffany J. Callahan; Leigh C. Carmody; Daniel Danis; Marcin P. Joachimiak; Vida Ravanmehr; Emily R. Pfaff; James Champion; Kimberly Robasky; et al. (npj Digit. Medicine, 2019)

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species. - Kent A. Shefchek; Nomi L. Harris; Michael A. Gargano; Nicolas Matentzoglu; Deepak R. Unni; Matthew H. Brush; Dan Keith; Tom Conlin; Nicole A. Vasilevsky; Xingmin Aaron Zhang; James P. Balhoff; Larry Babb; et al. (Nucleic Acids Res., 2020)

Het-node2vec: second order random walk sampling for heterogeneous multigraphs embedding. - Giorgio Valentini; Elena Casiraghi; Luca Cappelletti; Vida Ravanmehr; Tommaso Fontana; Justin T. Reese; Peter N. Robinson (CoRR, 2021)

GraPE: fast and scalable Graph Processing and Embedding. - Luca Cappelletti; Tommaso Fontana; Elena Casiraghi; Vida Ravanmehr; Tiffany J. Callahan; Marcin P. Joachimiak; Christopher J. Mungall; Peter N. Robinson; Justin T. Reese; Giorgio Valentini (CoRR, 2021)

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response. - Justin T. Reese; Deepak R. Unni; Tiffany J. Callahan; Luca Cappelletti; Vida Ravanmehr; Seth Carbon; Kent A. Shefchek; Benjamin M. Good; James P. Balhoff; Tommaso Fontana; Hannah Blau; Nicolas Matentzoglu; et al. (Patterns, 2021)

KG-Hub - Building and Exchanging Biological Knowledge Graphs. - J. Harry Caufield; Tim E. Putman; Kevin Schaper; Deepak R. Unni; Harshad Hegde; Tiffany J. Callahan; Luca Cappelletti; Sierra A. T. Moxon; Vida Ravanmehr; Seth Carbon; Lauren E. Chan; Katherina Cortes; et al. (CoRR, 2023)

GRAPE for fast and scalable graph processing and random-walk-based embedding. - Luca Cappelletti; Tommaso Fontana; Elena Casiraghi; Vida Ravanmehr; Tiffany J. Callahan; Carlos Cano; Marcin P. Joachimiak; Christopher J. Mungall; Peter N. Robinson; Justin T. Reese; Giorgio Valentini (Nat. Comput. Sci., 2023)