Finding principal components without even looking?
Read OriginalThe article discusses a research paper on performing singular value decomposition (SVD) faster than O(mn) time by subsampling rows and columns. It examines the algorithm's assumptions, its application to estimating population structure from genotype data and computing eigenvalues for SKAT association tests, and compares it to existing methods in computational genetics.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
The Beautiful Web
Jens Oliver Meiert
•
2 votes
2
When your coding agent doesn’t understand your project, you’ll get junk
Benjamin Cane
•
1 votes
3
LLM Use in the Python Source Code
Miguel Grinberg
•
1 votes
4
Wagon’s algorithm in Python
John D. Cook
•
1 votes
5
An example conversation with Claude Code
Dumm Zeuch
•
1 votes