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Researchers at Princeton and the Simons Foundation turned the traditional approach on its head, teaching a machine learning algorithm to look for the genetic relationships that could cause autism.
Researchers combined machine-learning with a genetic algorithm to overcome the limitations of existing methods to predict how an organism may be affected by a single base pair substitution.
Posted in Machine Learning Tagged atari, basic, genetic algorithm, machine learning ← Hacking Flux Paths: The Surprising Magnetic Bypass Retrotectacular: Ham Radio As It Was → ...
How do cancer cells differ from healthy cells? A new machine learning algorithm called "ikarus" knows the answer, reports a team led by MDC bioinformatician Altuna Akalin in the journal Genome ...
Machine learning is great at finding patterns but doesn’t know what those patterns mean. Combine it with knowledge gained from genetic research and you have a powerful view into the workings of ...
Moreover, their model outperformed more standard machine learning approaches, as well as autoencoder algorithms that were trained on just one of the imaging modalities.
The new algorithm overcomes this barrier by exploring how numerous genetic mutations collectively influence a tumor's reaction to drugs that impede DNA replication.
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...