Training a neural network to learn other dimensionality reduction removes data size restrictions in bioinformatics and provides a new route to exploring data representations
Alex Dexter, Spencer A. Thomas, Rory T. Steven, Kenneth N. Robinson, Adam J. Taylor, Efstathios Andreas Elia, Chelsea J. Nikula, Andrew D. Campbell, Yulia Panina, Arafath Kaja Najumudeen, Teresa Murta, Bin Lun Yan, Piotr Grabowski, Gregory R. Hamm, John G. Swales, , Josephine Bunch
The paper uses deep learning with t-SNE to analyze large datasets and overcome size limitations in bioinformatics.
bioRxiv · Sep 3, 2020 · PreprintBioinformatics