DeepEPI: CNN-transformer-based model for extracting TF interactions through predicting enhancer-promoter interactions

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf221
Citations
2
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
1.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

DeepEPI: CNN-transformer-based model for extracting TF interactions through predicting enhancer-promoter interactions

Somayyeh Koohi, SeyedehFatemeh Tabatabaei, Saeedeh Akbari Roknabadi
2 citations
Bioinformatics Advances
Cell Image Analysis Techniques
1.32
article

DeepEPI: CNN-transformer-based model for extracting TF interactions through predicting enhancer-promoter interactions

Somayyeh Koohi, SeyedehFatemeh Tabatabaei, Saeedeh Akbari Roknabadi
article en
2 citations

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
Sharif University of Technology (IR), KTH Royal Institute of Technology (SE)
Openalex Percentile: Top 14%
Cell Image Analysis Techniques
1.32
DOIOpen Access PDFOpenAlex
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.

DeepEPI: CNN-transformer-based model for extracting TF interactions through predicting enhancer-promoter interactions — Somayyeh Koohi, SeyedehFatemeh Tabatabaei, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS