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Yair Pickholz Berliner

dblp:426/1909 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
gene expression analysis
0.912025
PEANUT: Pathway Enrichment Analysis through Network UTilization · Bioinform. 2025
Bioinformatics and computational biology › network bioinformatics › biological network analysis
network propagation
0.912025
PEANUT: Pathway Enrichment Analysis through Network UTilization · Bioinform. 2025
Bioinformatics and computational biology › functional genomics › functional enrichment analysis
pathway enrichment analysis
0.912025
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
YearPublicationVenuePosition
2025 PEANUT: Pathway Enrichment Analysis through Network UTilization
abstract
SUMMARY: 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