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

Inferring copy number variation from gene expression data: methods, comparisons, and applications to oncology

Joseph Boen, Joel P. Wagner, Noemi Di Nanni
doi: https://doi.org/10.1101/2021.10.18.463991
Joseph Boen
1Summer Internship Program in Oncology Disease Area, Novartis Institutes of Biomedical Research, Cambridge MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joel P. Wagner
2Oncology Disease Area, Novartis Institutes of Biomedical Research, Cambridge MA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: joel.wagner@novartis.com noemi.di_nanni@novartis.com
Noemi Di Nanni
3Oncology Disease Area, Novartis Institutes of Biomedical Research, Basel, Switzerland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: joel.wagner@novartis.com noemi.di_nanni@novartis.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article usage

Article usage: October 2021 to September 2023

AbstractFullPdf
Oct 202184315194
Nov 202114020127
Dec 20216715114
Jan 20228947409
Feb 20224921128
Mar 20226545228
Apr 20228284170
May 202211382240
Jun 20229971206
Jul 202211271174
Aug 20227769167
Sep 202210282199
Oct 20229191154
Nov 202211890143
Dec 2022240103176
Jan 202313772212
Feb 202310449175
Mar 202314569186
Apr 202311562198
May 202311373168
Jun 20238740192
Jul 20238045160
Aug 20238164174
Sep 20235453136
Back to top
PreviousNext
Posted October 19, 2021.
Download PDF
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.
Inferring copy number variation from gene expression data: methods, comparisons, and applications to oncology
(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
Inferring copy number variation from gene expression data: methods, comparisons, and applications to oncology
Joseph Boen, Joel P. Wagner, Noemi Di Nanni
bioRxiv 2021.10.18.463991; doi: https://doi.org/10.1101/2021.10.18.463991
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Inferring copy number variation from gene expression data: methods, comparisons, and applications to oncology
Joseph Boen, Joel P. Wagner, Noemi Di Nanni
bioRxiv 2021.10.18.463991; doi: https://doi.org/10.1101/2021.10.18.463991

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 (4682)
  • Biochemistry (10357)
  • Bioengineering (7670)
  • Bioinformatics (26330)
  • Biophysics (13523)
  • Cancer Biology (10683)
  • Cell Biology (15438)
  • Clinical Trials (138)
  • Developmental Biology (8497)
  • Ecology (12820)
  • Epidemiology (2067)
  • Evolutionary Biology (16851)
  • Genetics (11399)
  • Genomics (15478)
  • Immunology (10616)
  • Microbiology (25207)
  • Molecular Biology (10220)
  • Neuroscience (54463)
  • Paleontology (401)
  • Pathology (1668)
  • Pharmacology and Toxicology (2897)
  • Physiology (4342)
  • Plant Biology (9243)
  • Scientific Communication and Education (1586)
  • Synthetic Biology (2557)
  • Systems Biology (6780)
  • Zoology (1466)