AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Chromosome Segregation

Showing 1 to 4 of 4 articles

Clear Filters

DeepTetrad: high-throughput image analysis of meiotic tetrads by deep learning in Arabidopsis thaliana.

The Plant journal : for cell and molecular biology
Meiotic crossovers facilitate chromosome segregation and create new combinations of alleles in gametes. Crossover frequency varies along chromosomes and crossover interference limits the coincidence of closely spaced crossovers. Crossovers can be mea...

Machine learning classification of trajectories from molecular dynamics simulations of chromosome segregation.

PloS one
In contrast to the well characterized mitotic machinery in eukaryotes it seems as if there is no universal mechanism organizing chromosome segregation in all bacteria. Apparently, some bacteria even use combinations of different segregation mechanism...

High-throughput classification of S. cerevisiae tetrads using deep learning.

Yeast (Chichester, England)
Meiotic crossovers play a vital role in proper chromosome segregation and evolution of most sexually reproducing organisms. Meiotic recombination can be visually observed in Saccharomyces cerevisiae tetrads using linked spore-autonomous fluorescent m...