A Comparative Study of Gene Co-Expression Thresholding Algorithms.

Carissa BlekerStephen K GradyMichael A Langston

Published in: Journal of computational biology : a journal of computational molecular cell biology (2024)

The thresholding problem is studied in the context of graph theoretical analysis of gene co-expression data. A number of thresholding methodologies are described, implemented, and tested over a large collection of graphs derived from real high-throughput biological data. Comparative results are presented and discussed.

Keyphrases

poor prognosis
high throughput
electronic health record
genome wide
copy number
big data
machine learning
binding protein
genome wide identification
long non coding rna
deep learning
single cell
dna methylation
data analysis
neural network
genome wide analysis
solid state