Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets-Reference-Cited by-同舟云学术

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Comparison of merging strategies for building machine learning models on multiple independent gene expression data sets

Published:2021-09-13 Issue:1 Volume:15 Page:112-124
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Statistical Analysis

Author:

Krepel Jessica¹,Kircher Magdalena¹,Kohls Moritz¹,Jung Klaus¹^ORCID

Affiliation:

1. Institute for Animal Breeding and Genetics University of Veterinary Medicine Hannover Hannover Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11549

Reference34 articles.

1. J. J.AllaireandF.Chollet keras: R interface to ‘Keras’. R package version 2.3.0.0.https://CRAN.R‐project.org/package=keras 2020.

2. Cross-study validation for the assessment of prediction algorithms

3. ArrayExpress--a public repository for microarray gene expression data at the EBI

4. Tracking Cross-Validated Estimates of Prediction Error as Studies Accumulate

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1. Uncovering waterlogging-responsive genes in cucumber through machine learning and differential gene correlation analysis;Botanical Studies;2024-08-14

2. Assessing Outlier Probabilities in Transcriptomics Data When Evaluating a Classifier;Genes;2023-02-01

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