Additional file 1 of Predicting adenine base editing efficiencies in different cellular contexts by deep learning

Additional file 1. Contains supplementary figures (Fig. S1 – Fig. S8) and additional information to BEDICT2.0 and SHAP analysis.

Institutions

Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.28975055.v1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Additional file 1 of Predicting adenine base editing efficiencies in different cellular contexts by deep learning

Figshare
CRISPR and Genetic Engineering
article

Additional file 1 of Predicting adenine base editing efficiencies in different cellular contexts by deep learning

article en

Abstract

Additional file 1. Contains supplementary figures (Fig. S1 – Fig. S8) and additional information to BEDICT2.0 and SHAP analysis.

Figshare
University of Zurich (CH), ETH Zurich (CH), California University of Pennsylvania (US), Acuitas Therapeutics (Canada) (CA)
Zero hunger
Openalex Percentile: Top 53%
CRISPR and Genetic Engineering
DOISourceOpenAlex
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.

Additional file 1 of Predicting adenine base editing efficiencies in different cellular contexts by deep learning · Figshare (2025) | TGRS Research Map | TGRS