Machine learning

MetaProClust-MS1

A tool for clustering metaprotemes using rapid MS1 profiling

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

**Background:** The severity and frequency of drought has increased around the globe, creating challenges in ensuring food security for a growing world population. As a consequence, improving water use efficiency by crops has become an important …

Using machine learning to predict long non-coding RNAs and exploring their evolutionary patterns and prevalence in plant transcriptomes

Local adaptation in the extremophile Eutrema salsugineum: Exploring the role of putative lncRNAs

Eutrema salsugineum is a halophyte that is tolerant to abiotic stresses such as nutritional deficiencies, cold tem- peratures, and drought, and has been used as a model plant for stress tolerance research. Most studies have fo- cused on the Shandong …

Prediction of plant lncRNA by ensemble machine learning classifiers

**Background:** In plants, long non-protein coding RNAs are believed to have essential roles in development and stress responses. However, relative to advances on discerning biological roles for long non-protein coding RNAs in animal systems, this …

CREMA

Classifying RNA by Ensemble Machine learning Algorithm.