3 citations · 3 across the 3 of their papers we have counts for
4 papers
Sifting out communities in large sparse networks
Sharlee Climer, Kenneth Smith, Wei Yang +3
Research data sets are growing to unprecedented sizes and network modeling is commonly used to extract complex relationships in diverse domains, such as genetic interactions involv…
Improving Data Cleaning Using Discrete Optimization
Kenneth Smith, Sharlee Climer
One of the most important processing steps in any analysis pipeline is handling missing data. Traditional approaches simply delete any sample or feature with missing elements. Rece…
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…
Parallel Accelerated Custom Correlation Coefficient Calculations for Genomics Applications
Wayne Joubert, James Nance, Sharlee Climer +2
The massive quantities of genomic data being made available through gene sequencing techniques are enabling breakthroughs in genomic science in many areas such as medical advances…