Demo Data from EDBT 2026 / reviewers in the wild / expert
Yair Pickholz Berliner
dblp:426/1909
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0001-0470-6604ORCID · reported
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 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression analysis |
0.9 | 1 | 2025 | PEANUT: Pathway Enrichment Analysis through Network UTilization · Bioinform. 2025 |
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network propagation |
0.9 | 1 | 2025 | PEANUT: Pathway Enrichment Analysis through Network UTilization · Bioinform. 2025 |
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
pathway enrichment analysis |
0.9 | 1 | 2025 | PEANUT: Pathway Enrichment Analysis through Network UTilization · Bioinform. 2025 |
Methods — techniques the papers use, named apart from their topics
protein-protein interaction network diffusion · 0.9network propagation · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | PEANUT: Pathway Enrichment Analysis through Network UTilizationabstractSUMMARY: Pathway enrichment analysis is a fundamental technique in bioinformatics for interpreting gene expression data to pinpoint biological pathways associated with specific conditions or diseases. We introduce Pathway Enrichment Analysis through Network UTilization (PEANUT), a web-based tool for pathway enrichment analysis that enhances traditional pipelines by integrating network propagation computations within a network of protein-protein interactions (PPIs). By diffusing gene expression scores through the PPI network, PEANUT amplifies the signals of connected sets of genes, thereby improving the detection of relevant pathways. AVAILABILITY AND IMPLEMENTATION: The tool is accessible as an open-source web application at https://peanut.cs.tau.ac.il/. The source code is available at https://github.com/Yapibe/PEANUT with a permanent identifier (DOI: https://doi.org/10.5281/zenodo.15184862). Yair Pickholz Berliner, Roded Sharan |
Bioinform. | 1 |