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

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2019

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

Sterling Ramroach, Andrew Dhanoo, Brian Cockburn +1

Neural network training entails heavy computation with obvious bottlenecks. The Compute Unified Device Architecture (CUDA) programming model allows us to accelerate computation by…

cs.LG2019★ 5 cited

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

Sterling Ramroach, Melford John, Ajay Joshi

Late diagnosis and high costs are key factors that negatively impact the care of cancer patients worldwide. Although the availability of biological markers for the diagnosis of can…