RDL logo
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
​
​
Sign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2025 Raw Data Library. All rights reserved.
PrivacyTerms
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. <i>MS.liverK:</i> an R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancer

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
English
2019

<i>MS.liverK:</i> an R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancer

0 Datasets

0 Files

English
2019
bioRxiv (Cold Spring Harbor Laboratory)
DOI: 10.1101/540005

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Josep M. Llovet
Josep M. Llovet

Translational Research In Hepatic Oncology

Verified
Florent Petitprez
Léa Meunier
Éric Letouzé
+8 more

Abstract

Summary Liver cancer is a highly heterogeneous disease in terms of etiology, tissue and cellular morphology, tumor molecular characteristics, microenvironment composition and prognosis. Several studies, based on tumor gene-expression profiling (GEP) data, have dissected the molecular heterogeneity of liver cancer. They resulted in various tools, either delineating homogeneous tumor subtypes or calculating molecular scores of prognostic or biological functions. Here, we present MS.liverK, an easy-to-use R package providing a comprehensive implementation of these tools, for research use. Availability and implementation The MS.liverK R package is available from GitHub ( https://github.com/cit-bioinfo/MS.liverK ).

How to cite this publication

Florent Petitprez, Léa Meunier, Éric Letouzé, Yujin Hoshida, Augusto Villanueva, Josep M. Llovet, Snorri S. Thorgeirsson, Xin Wei Wang, Wolf H. Fridman, Jessica Zucman‐Rossi, Aurélien de Reyniès (2019). <i>MS.liverK:</i> an R package for transcriptome-based computation of molecular subtypes and functional signatures in liver cancer. bioRxiv (Cold Spring Harbor Laboratory), DOI: 10.1101/540005.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2019

Authors

11

Datasets

0

Total Files

0

Language

English

Journal

bioRxiv (Cold Spring Harbor Laboratory)

DOI

10.1101/540005

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access