Demo Data from EDBT 2026 / reviewers in the wild / expert
Holly R. Steach
dblp:322/9468
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
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% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › single-cell analysis
single-cell transcriptomics |
0.8 | 1 | 2024 | Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning · RECOMB 2024 |
Methods — techniques the papers use, named apart from their topics
geometric deep learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Inferring Metabolic States from Single Cell Transcriptomic Data via Geometric Deep Learning
Holly R. Steach, Siddharth Viswanath, Yixuan He 0001, Xitong Zhang, Natalia Ivanova, Matthew J. Hirn, Michael Perlmutter, Smita Krishnaswamy |
RECOMB | 1 |