tag2peak

Extract significant peaks from CLIP tags using scan statistics

Brought to you by: zhangchaolin

Downloads: 0 This Week

Last Update: 2013-02-21

Get an email when there's a new version of tag2peak

Extract significant peaks from CLIP tags using scan statistics. Either the CLIP data itself or gene expression data can be used for normalization.

Project Activity

See All Activity >

Follow tag2peak

tag2peak Web Site

Other Useful Business Software

Build Securely on AWS with Proven Frameworks Icon

Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.

Download Now

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of tag2peak!

Additional Project Details

Registered

2013-02-21

Report inappropriate content

Try Google Cloud Risk-Free With $300 in Credit

No hidden charges. No surprise bills. Cancel anytime.

Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.

Start Free

Recommended Projects

VQGAN-CLIP web app
Local image generation using VQGAN-CLIP or CLIP guided diffusion
OpenCLIP
An open source implementation of CLIP
clip-retrieval
Easily compute clip embeddings and build a clip retrieval system
DALL-E 2 - Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis
CLIP
CLIP, Predict the most relevant text snippet given an image