Demo Data from EDBT 2026 / reviewers in the wild / expert
Rami Vanguri
dblp:211/7040
· DBLP profile ↗
4ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0001-8049-4829ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% | |
| Theoretical computer science
1 paper |
Computational geometry · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › cancer biology
cancer immunology |
0.4 | 1 | 2020 | Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study · SoCG 2020 |
Bioinformatics and computational biology › cancer biology
tumor microenvironment |
0.4 | 1 | 2020 | Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study · SoCG 2020 |
Computational geometry › topological data analysis
persistent homology |
0.1 | 1 | 2020 | Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study · SoCG 2020 |
Computational geometry
topological data analysis |
0.1 | 1 | 2020 | Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study · SoCG 2020 |
Methods — techniques the papers use, named apart from their topics
persistent homology · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Persistent Homology Based Characterization of the Breast Cancer Immune Microenvironment: A Feasibility Study
Andrew Aukerman, Mathieu Carrière, Chao Chen 0012, Kevin Gardner, Raul Rabadan, Rami Vanguri |
SoCG | 6 |
| 2018 | Using model classifications as quantitative traits to estimate stroke heritability
Phyllis Thangaraj, Fernanda Polubriaginof, Benjamin Kummer, Rami Vanguri, Tal Lorberbaum, Joseph D. Romano, Kayla Quinnies, Alexandre Yahi, Mitchell S. V. Elkind, Nicholas P. Tatonetti |
AMIA | 4 |
| 2017 | The Use of Informatics to Reduce Disparities in Transgender Health
Kenrick Cato, Joseph D. Romano, Rami Vanguri, Nicholas P. Tatonetti |
AMIA | 3 |
| 2017 | Deep recurrent neural networks identify transgender patients
Joseph D. Romano, Kenrick Cato, Rami Vanguri, Nicholas P. Tatonetti |
AMIA | 3 |