Back to search

Article

LOGO, a contextualized pre-trained language model of human genome flexibly adapts to various downstream tasks by fine-tuning

2021-08-24

Abstract excerpt

<title>Abstract</title> <p>Interpretation of non-coding genome remains an unsolved challenge in human genetics due to impracticality of exhaustively annotate biochemically active elements in all conditions. Deep learning based computational approaches emerge recently to help interpretating non-coding regions. Here we present LOGO (Language of Genome), a self-attention based contextualized pre-trained language mod...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b3eb12b6-816e-5f28-8b6b-02f9f2887ebd
DOI
10.21203/rs.3.rs-448927/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
LOGO, a contextualized pre-trained language model of human genome flexibly adapts to various downstream tasks by fine-tuningDOI 10.21203/rs.3.rs-448927/v1
Select a neighboring publication to make it the new centre.