Back to search

Article

iterative Random Forests to discover predictive and stable high-order interactions

2017-11-20

Abstract excerpt

Genomics has revolutionized biology, enabling the interrogation of whole transcriptomes, genome-wide binding sites for proteins, and many other molecular processes. However, individual genomic assays measure elements that interact in vivo as components of larger molecular machines. Understanding how these high-order interactions drive gene expression presents a substantial statistical challenge. Building on Rando...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b542d6f9-824b-5481-9901-7b84dd70399b
DOI
10.1101/222299
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
iterative Random Forests to discover predictive and stable high-order interactionsDOI 10.1101/222299
Select a neighboring publication to make it the new centre.