3 papers
q-bio.BM2022
Dock2D: Synthetic data for the molecular recognition problem
Siddharth Bhadra-Lobo, Georgy Derevyanko, Guillaume Lamoureux
Predicting the physical interaction of proteins is a cornerstone problem in computational biology. New classes of learning-based algorithms are actively being developed, and are ty…
cs.LG2018
TorchProteinLibrary: A computationally efficient, differentiable representation of protein structure
Georgy Derevyanko, Guillaume Lamoureux
Predicting the structure of a protein from its sequence is a cornerstone task of molecular biology. Established methods in the field, such as homology modeling and fragment assembl…
q-bio.GN2018
Towards Gene Expression Convolutions using Gene Interaction Graphs
Francis Dutil, Joseph Paul Cohen, Martin Weiss +2
We study the challenges of applying deep learning to gene expression data. We find experimentally that there exists non-linear signal in the data, however is it not discovered auto…