Novel risk genes for systemic lupus erythematosus predicted by random forest classification
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DOI: 10.1038/s41598-017-06516-1
Abstract: Genome-wide association studies have identified risk loci for SLE, but a large proportion of the genetic contribution to SLE still remains unexplained. To detect novel risk genes, and to predict an individual’s SLE risk we… read more here.
Keywords: risk; forest classification; novel risk; random forest ... See more keywords
Random forest classification for predicting lifespan-extending chemical compounds
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DOI: 10.1038/s41598-021-93070-6
Abstract: Ageing is a major risk factor for many conditions including cancer, cardiovascular and neurodegenerative diseases. Pharmaceutical interventions that slow down ageing and delay the onset of age-related diseases are a growing research area. The aim… read more here.
Keywords: classification predicting; chemical compounds; predicting lifespan; forest classification ... See more keywords
Random Forest Classification to Predict Response to High-Definition Transcranial Direct Current Stimulation for Tinnitus Relief: A Preliminary Feasibility Study
Sign Up to like & getrecommendations! Published in 2022 at "Ear and Hearing"
DOI: 10.1097/aud.0000000000001246
Abstract: Objectives: Transcranial direct current stimulation (tDCS) of the right dorsolateral prefrontal cortex has been hypothesized to reduce tinnitus severity by modifying cortical activity in brain regions associated with the perception of tinnitus. However, individual response… read more here.
Keywords: response high; tinnitus; random forest; treatment ... See more keywords
Ranking near-native candidate protein structures via random forest classification
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DOI: 10.1186/s12859-019-3257-8
Abstract: In ab initio protein-structure predictions, a large set of structural decoys are often generated, with the requirement to select best five or three candidates from the decoys. The clustered central structures with the most number… read more here.
Keywords: protein; classification; candidate; forest classification ... See more keywords
Hybrid Approach for Intrusion Detection Model Using Combination of K-Means Clustering Algorithm and Random Forest Classification
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Engineering Science"
DOI: 10.9790/1813-0601029397
Abstract: --------------------------------------------------------ABSTRACT----------------------------------------------------------Any violation of information security policy with malicious intent is regarded as an intrusion. The fast evolving new kind of intrusions poses a very serious threat to system security, although there has been the rapid… read more here.
Keywords: detection; means clustering; forest classification; intrusion ... See more keywords