BLOG: Preprocessing for accurate downstream machine learning with ContingentAI™
Victoria Catterson, our Vice President of Data Science Research, writes about recent research which validated the use of technology for federated machine learning on data from patients with Parkinson’s Disease.
BLOG: Machine learning without data sharing via federation
Victoria Catterson, our Vice President of Data Science Research, writes about recent research which validated the use of technology for federated machine learning on data from patients with Parkinson’s Disease.
BLOG: Navigating the Currents: BioSymetrics and the Revival of Biotech Partnering
Gabe Musso, our Chief Scientific Officer, writes about a promising resurgence in the biotech industry.
BLOG: Let’s build a workflow, part 2: encapsulating bespoke analyses
In our previous post in this series, we explored the idea of chaining multiple foundational workflows into a larger umbrella workflow. Some of these foundational workflows wrapped existing software packages distributed via official Docker images, highlighted in red in the figure below.
BLOG: Let’s build a workflow, part 1: foundational workflows in WDL
Over the past several months, BioSymetrics collaborated with DNAstack on genomic and phenomic data analysis pipelines. Throughout this process, we gained numerous insights on building workflows and ultimately settled on constructing foundational workflows that we can compose into larger umbrella workflows. Let us share our insights with you!
