×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

SpliceNet

Online

A method to infer isoform-specific co-expression networks from exon-level RNA-Seq data, using large dimensional trace. SpliceNet goes beyond differentially expressed genes and infers splicing isoform network changes between normal and diseased samples. It eases the sample size bottleneck; evaluations on simulated data and lung cancer-specific ERBB2 and MAPK signaling pathways, with varying number of samples, evince the merit in handling high exon to sample size ratio datasets.

User report

×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

SpliceNet forum

×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

SpliceNet versioning

×
Upload and version your source code
Get your DOI for better tool traceability. Archive your releases so the community can easily visualize progress on you work.

No versioning.

SpliceNet classification

SpliceNet specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes

Credits

×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

Department of Biochemistry, The University of Hong Kong, Hong Kong, China; Department of Pathology, The University of Hong Kong, Hong Kong, China; Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Shenzhen Institute of Research and Innovation, The University of Hong Kong, Shenzhen, China; Department of Statistics and Actuarial Science, Faculty of Science, The University of Hong Kong, Hong Kong, China

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.