Gene hunting with forests for multigroup time course data

DOI10.1016/j.spl.2009.01.003zbMath1160.62363OpenAlexW2047044113MaRDI QIDQ1017807

Ariadni Papana, Hemant Ishwaran

Publication date: 12 May 2009

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2009.01.003

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items (1)

A High Performance Biomarker Detection Method for Exhaled Breath Mass Spectrometry Data

Uses Software

• randomForest
• maSigPro

Cites Work

• Variable importance in binary regression trees and forests
• Robust Locally Weighted Regression and Smoothing Scatterplots
• Cluster analysis of gene expression dynamics
• Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes
• Random forests

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