RoseNet: Predicting Energy Metrics of Double InDel Mutants Using Deep Learning

no code implementations • 20 Oct 2023 • Sarah Coffland, Katie Christensen, Filip Jagodzinski, Brian Hutchinson

We explore and present how RoseNet is able to emulate the exhaustive data set using deep learning methods, and show to what extent it can predict Rosetta metrics for unseen mutant sequences with two InDels.

Big Holes in Big Data: A Monte Carlo Algorithm for Detecting Large Hyper-rectangles in High Dimensional Data

2 code implementations • 3 Apr 2017 • Joseph Lemley, Filip Jagodzinski, Razvan Andonie

We present the first algorithm for finding holes in high dimensional data that runs in polynomial time with respect to the number of dimensions.

Computational Geometry Data Analysis, Statistics and Probability