PCA: Bioinformaticians Favorite Tool Can Be Misleading
Last Updated on March 21, 2023 by Editorial Team
Author(s): Salvatore Raieli
Originally published on Towards AI.
PCA: Bioinformatician’s Favorite Tool Can Be MisleadingA new study assesses how a most used technique can be problematicPhoto by NASA on Unsplash
The principal component analysis (PCA)is a popular machine learning technique used for complexity reduction, but according to some researchers, it is unreliable and inconsistent and may be part of the reproducibility crisis in science.
The reproducibility crisis, genetics, and PCA
The reproducibility crisis in science has been increasingly discussed in recent years. There are several reasons why science is not reproducible, but some may also be the fault of the misuse of machine learning.
For one, the data themselves are often uncurated…. Read more
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Take our 90+ lesson From Beginner to Advanced LLM Developer Certification: From choosing a project to deploying a working product this is the most comprehensive and practical LLM course out there!
Towards AI has published Building LLMs for Production—our 470+ page guide to mastering LLMs with practical projects and expert insights!
Discover Your Dream AI Career at Towards AI Jobs
Towards AI has built a jobs board tailored specifically to Machine Learning and Data Science Jobs and Skills. Our software searches for live AI jobs each hour, labels and categorises them and makes them easily searchable. Explore over 40,000 live jobs today with Towards AI Jobs!
Note: Content contains the views of the contributing authors and not Towards AI.
Related posts
Popular posts
Updates
Recent Posts
