CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Ke Ding; Gunjan Dixit; Brian J. Parker; Jiayu Wen

doi:10.1101/2022.12.02.518786

New Results

CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Ke Ding, Gunjan Dixit, View ORCID ProfileBrian J. Parker, View ORCID ProfileJiayu Wen

doi: https://doi.org/10.1101/2022.12.02.518786

Ke Ding

1Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Gunjan Dixit

1Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Brian J. Parker

2School of Computing and Biological Data Science Institute, Australian National University, Canberra, ACT, Australia

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Brian J. Parker
For correspondence: Brian.Parker@anu.edu.au Jiayu.Wen@anu.edu.au

Jiayu Wen

1Division of Genome Science and Cancer, John Curtin School of Medical Research, Australian National University, Canberra, ACT, Australia

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Jiayu Wen
For correspondence: Brian.Parker@anu.edu.au Jiayu.Wen@anu.edu.au

Abstract
Full Text
Info/History
Metrics
Supplementary material
Preview PDF

Article usage

Article usage: December 2022 to June 2023

	Abstract	Full	Pdf
Dec 2022	778	28	169
Jan 2023	71	25	41
Feb 2023	54	13	58
Mar 2023	63	40	51
Apr 2023	46	20	27
May 2023	25	6	24
Jun 2023	1	0	2

View the discussion thread.

PreviousNext

Posted December 02, 2022.

Download PDF

Supplementary Material

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Message Subject (Your Name) has forwarded a page to you from bioRxiv

Message Body (Your Name) thought you would like to see this page from the bioRxiv website.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Ke Ding, Gunjan Dixit, Brian J. Parker, Jiayu Wen

bioRxiv 2022.12.02.518786; doi: https://doi.org/10.1101/2022.12.02.518786

Share This Article:

Citation Tools

CRMnet: a deep learning model for predicting gene expression from large regulatory sequence datasets

Ke Ding, Gunjan Dixit, Brian J. Parker, Jiayu Wen

bioRxiv 2022.12.02.518786; doi: https://doi.org/10.1101/2022.12.02.518786

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

Tweet Widget
Facebook Like
Google Plus One

Subject Area

Bioinformatics

Subject Areas

All Articles

Animal Behavior and Cognition (4397)
Biochemistry (9624)
Bioengineering (7118)
Bioinformatics (24929)
Biophysics (12660)
Cancer Biology (9985)
Cell Biology (14395)
Clinical Trials (138)
Developmental Biology (7986)
Ecology (12141)
Epidemiology (2067)
Evolutionary Biology (16021)
Genetics (10947)
Genomics (14774)
Immunology (9898)
Microbiology (23731)
Molecular Biology (9502)
Neuroscience (51039)
Paleontology (370)
Pathology (1544)
Pharmacology and Toxicology (2690)
Physiology (4035)
Plant Biology (8687)
Scientific Communication and Education (1512)
Synthetic Biology (2404)
Systems Biology (6454)
Zoology (1349)