Caitlin Simopoulos
Caitlin Simopoulos
Home
Software
Talks
Publications
R tutorials
Contact
CV
Using machine learning to predict long non-coding RNAs and exploring their evolutionary patterns and prevalence in plant transcriptomes
Caitlin Simopoulos
2019-01-01
PDF
Cite
DOI
Type
Thesis
Publication
McMaster University
lncRNA
Eutrema salsugineum
Machine learning
Extremophile
Transcriptomics
Evolution
Caitlin Simopoulos
PhD, Sr. Computational Biologist
I use computational biology and machine learning to understand the world around me!
Related
Coding and long non-coding RNAs provide evidence of distinct transcriptional reprogramming for two ecotypes of the extremophile plant Eutrema salsugineum undergoing water deficit stress
Local adaptation in the extremophile Eutrema salsugineum: Exploring the role of putative lncRNAs
Molecular traits of long non-protein coding RNAs from diverse plant species show little evidence of phylogenetic relationships
Prediction of plant lncRNA by ensemble machine learning classifiers
CREMA
Cite
×