Back to search

Article

Boolean Implication Analysis Unveils Candidate Universal Relationships in Microbiome Data

2020-12-10

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Microbiomes consist of bacteria, viruses, and other microorganisms, and are responsible for many different functions in both organisms and the environment. Past analyses of microbiomes focused on using correlation to determine linear relationships between microbes and diseases. Weak correlations due to nonlinearity between microbe pairs may cause researchers to...

Topics

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

Identifiers and source

Literature Corpus work
aa228a7d-d562-5b1c-961f-d8acbfbcb07d
DOI
10.21203/rs.3.rs-65519/v2
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.
Boolean Implication Analysis Unveils Candidate Universal Relationships in Microbiome DataDOI 10.21203/rs.3.rs-65519/v2
Select a neighboring publication to make it the new centre.