Differential Expression, Functional and Machine Learning Analysis of High-Throughput -Omics Data Using Open-Source Tools

Kebschull, M., Kroeger, A. T., & Papapanou, P. N. (2022). Differential Expression, Functional and Machine Learning Analysis of High-Throughput –Omics Data Using Open-Source Tools. Oral Biology, 317–351. https://doi.org/10.1007/978-1-0716-2780-8_19
Authors:
Moritz Kebschull
Annika Therese Kroeger
Panos N Papapanou
Affiliated Authors:
Moritz Kebschull
Panos N Papapanou
Columbia Affiliation:
Subjects:
Machine Learning (MeSH)
Author Keywords:
dna methylation
differential expression analysis
functional groups
gene expression
gingiva
machine learning
microarray
next-generation sequencing
periodontal disease
transcriptome
microrna
elink
Publication Type:
Article
Unique ID:
10.1007/978-1-0716-2780-8_19
PMID:
36418696
DOI:
10.1007/978-1-0716-2780-8_19
Journal:
Methods in Molecular Biology
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

Record Created: