Back to search

Article

Machine learning for the exploitation of high throughput omics data : a case study on identifying circadian disruption from human blood transcriptomic data

2019-01-01

Abstract excerpt

The DNA microarray is a high throughput technology that is able to scan thousands of genes simultaneously and read their expression level. However, there are many challenges associated with data. One of the main opportunities is the curse of dimensionality which makes it difficult to learn without overfitting. Therefore, we proposed an unsupervised nonlinear machine learning framework to explore the circadian rhyt...

Topics

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

Identifiers and source

Literature Corpus work
976a67c1-c4b7-5931-9251-6a36e5d14890
DOI
10.15126/thesis.00850560
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.
Machine learning for the exploitation of high throughput omics data : a case study on identifying circadian disruption from human blood transcriptomic dataDOI 10.15126/thesis.00850560
Select a neighboring publication to make it the new centre.