Hybrid representation learning for human m6A modifications with chromosome-level generalizability

Authors

Institutions

Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf170
Primary Topic
RNA modifications and cancer
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid representation learning for human m6A modifications with chromosome-level generalizability

Sheela Ramanna, Qian Liu, Muhammad Tahir
Bioinformatics Advances
RNA modifications and cancer
article

Hybrid representation learning for human m6A modifications with chromosome-level generalizability

Sheela Ramanna, Qian Liu, Muhammad Tahir
article en

Abstract

No abstract available for this paper.
Bioinformatics AdvancesVol. 5(1)
University of Manitoba (CA), The University of Winnipeg (CA)
Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 77%
RNA modifications and cancer
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.

Hybrid representation learning for human m6A modifications with chromosome-level generalizability — Sheela Ramanna, Qian Liu, et al. · Bioinformatics Advances (2024) | TGRS Research Map | TGRS