Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Predicting cell population-specific gene expression from genomic sequence

View ORCID ProfileLieke Michielsen, View ORCID ProfileMarcel J.T. Reinders, View ORCID ProfileAhmed Mahfouz
doi: https://doi.org/10.1101/2022.09.06.506837
Lieke Michielsen
1Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333ZC, Leiden, The Netherlands
2Leiden Computational Biology Center, Leiden University Medical Center, Einthovenweg 20, 2333ZC, Leiden, The Netherlands
3Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, 2628XE, Delft, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Lieke Michielsen
Marcel J.T. Reinders
1Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333ZC, Leiden, The Netherlands
2Leiden Computational Biology Center, Leiden University Medical Center, Einthovenweg 20, 2333ZC, Leiden, The Netherlands
3Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, 2628XE, Delft, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Marcel J.T. Reinders
Ahmed Mahfouz
1Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, 2333ZC, Leiden, The Netherlands
2Leiden Computational Biology Center, Leiden University Medical Center, Einthovenweg 20, 2333ZC, Leiden, The Netherlands
3Delft Bioinformatics Lab, Delft University of Technology, Van Mourik Broekmanweg 6, 2628XE, Delft, The Netherlands
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ahmed Mahfouz
  • For correspondence: a.mahfouz@lumc.nl
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Article usage

Article usage: September 2022 to September 2023

AbstractFullPdf
Sep 202296925180
Oct 20221372544
Nov 202266514
Dec 2022631216
Jan 2023441226
Feb 2023451419
Mar 2023872028
Apr 2023531120
May 20233049
Jun 2023511712
Jul 2023601325
Aug 2023642422
Sep 2023411520
Back to top
PreviousNext
Posted September 08, 2022.
Download PDF

Supplementary Material

Data/Code
Email

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.

Enter multiple addresses on separate lines or separate them with commas.
Predicting cell population-specific gene expression from genomic sequence
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Predicting cell population-specific gene expression from genomic sequence
Lieke Michielsen, Marcel J.T. Reinders, Ahmed Mahfouz
bioRxiv 2022.09.06.506837; doi: https://doi.org/10.1101/2022.09.06.506837
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Predicting cell population-specific gene expression from genomic sequence
Lieke Michielsen, Marcel J.T. Reinders, Ahmed Mahfouz
bioRxiv 2022.09.06.506837; doi: https://doi.org/10.1101/2022.09.06.506837

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 (4685)
  • Biochemistry (10362)
  • Bioengineering (7682)
  • Bioinformatics (26342)
  • Biophysics (13534)
  • Cancer Biology (10693)
  • Cell Biology (15446)
  • Clinical Trials (138)
  • Developmental Biology (8501)
  • Ecology (12824)
  • Epidemiology (2067)
  • Evolutionary Biology (16867)
  • Genetics (11401)
  • Genomics (15484)
  • Immunology (10619)
  • Microbiology (25225)
  • Molecular Biology (10225)
  • Neuroscience (54481)
  • Paleontology (402)
  • Pathology (1669)
  • Pharmacology and Toxicology (2897)
  • Physiology (4345)
  • Plant Biology (9252)
  • Scientific Communication and Education (1587)
  • Synthetic Biology (2558)
  • Systems Biology (6781)
  • Zoology (1466)