Finding a Match Between Genomics and Machine Learning
A discussion on where modern computational approaches like machine learning and randomized linear algebra can support genomics research.
Notes on machine learning, computational biology, and related topics.
A discussion on where modern computational approaches like machine learning and randomized linear algebra can support genomics research.
A third-party independent evaluation of the Evo language model for learning biological patterns at the genetic level.
Applying the EM algorithm to speed up PCA computation, with experimental results on the 1000 Genome dataset.
An introduction to the EM algorithm with a genomics application using the 1000 Genome dataset.