The efficacy of various machine learning models for multi-class classification of RNA-seq expression data

no code implementations • 19 Aug 2019 • Sterling Ramroach, Melford John, Ajay Joshi

When the features were reduced to a list of 20 genes, the ensemble algorithms maintained an accuracy above 95% as opposed to the clustering and classification models.

BIG-bench Machine Learning Classification +3

CUDA optimized Neural Network predicts blood glucose control from quantified joint mobility and anthropometrics

no code implementations • 19 Aug 2019 • Sterling Ramroach, Andrew Dhanoo, Brian Cockburn, Ajay Joshi

In this paper, we leveraged the power of Nvidia GPUs to parallelize all of the computation involved in training, to accelerate a backpropagation feed-forward neural network with one hidden layer using CUDA and C++.