AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data

This package aims to correct for measurement error effects in survival times and implements a boosting algorithm under corrected data to determine informative gene expressions as well as derive the corresponding nonlinear functions.

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Publication Details

Journal
BMC Bioinformatics
Published
2024-08-13
DOI
https://doi.org/10.1186/s12859-024-05831-5
Citations
7
Primary Topic
Statistical Methods and Inference
Type
article
Field-Weighted Citation Impact
4.96

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article

AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data

Hsiao-Ting Huang, Li‐Pang Chen
7 citations
BMC Bioinformatics
Statistical Methods and Inference
4.96
article

AFFECT: an R package for accelerated functional failure time model with error-contaminated survival times and applications to gene expression data

Hsiao-Ting Huang, Li‐Pang Chen
article en
7 citations

Abstract

This package aims to correct for measurement error effects in survival times and implements a boosting algorithm under corrected data to determine informative gene expressions as well as derive the corresponding nonlinear functions.

BMC BioinformaticsVol. 25(1)
National Chengchi University (TW)
National Science and Technology Council
Zero hunger
Openalex Percentile: Top 4%
Statistical Methods and Inference
4.96
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