Concepedia

GenomeForest: An Ensemble Machine Learning Classifier for Endometriosis.

Sadia Akter, Dong Xu, Susan C. Nagel, John J. Bromfield, Katherine E. Pelch, Gilbert B. Wilshire, Trupti Joshi

PubMed · 2020 · 25 citations · 30 references

Full text

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Concepts

Abstract

score (0.918) for the methylomics dataset. We hope in the future a less invasive biopsy can be used to diagnose endometriosis using the findings from such ensemble machine learning classifiers, as demonstrated in this study.

References

30

Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

Gordon K. Smyth · Statistical Applications in Genetics and Molecular Biology · 2004 · 12K citations

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A comparison of normalization methods for high densityoligonucleotide array data based on variance and bias

Benjamin M. Bolstad, Rafael A. Irizarry, Magnus Åstrand et al. · Bioinformatics · 2003 · 8.4K citations · Full text

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The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

Kristin G. Ardlie, David S. DeLuca, Ayellet V. Segrè et al. · Science · 2015 · 5.7K citations · Full text

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ESHRE guideline: management of women with endometriosis

G.A.J. Dunselman, Nathalie Vermeulen, Christian M. Becker et al. · Human Reproduction · 2014 · 2.2K citations · Full text

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Clinical diagnosis of endometriosis: a call to action

Sanjay K. Agarwal, Charles Chapron, Linda C. Giudice et al. · American Journal of Obstetrics and Gynecology · 2019 · 834 citations · Full text

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