Topology-aware functional similarity: integrating extended neighborhoods via exponential attenuation

TAFS significantly improves prediction accuracy and interpretability through refined topological modeling, providing new insights for functional inference in complex biological networks.

Authors

Institutions

Publication Details

Journal
BMC Bioinformatics
Published
2025-10-21
DOI
https://doi.org/10.1186/s12859-025-06273-3
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Topology-aware functional similarity: integrating extended neighborhoods via exponential attenuation

Peng Wang
BMC Bioinformatics
Bioinformatics and Genomic Networks
article

Topology-aware functional similarity: integrating extended neighborhoods via exponential attenuation

Peng Wang
article en

Abstract

TAFS significantly improves prediction accuracy and interpretability through refined topological modeling, providing new insights for functional inference in complex biological networks.

BMC BioinformaticsVol. 26(1)
Chongqing Technology and Business University (CN)
Openalex Percentile: Top 73%
Bioinformatics and Genomic Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.