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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "winn" in publications use:'
type: software
license: GPL-3.0-only
title: 'winn: White Noise Normalization for Mass Spectrometry Profiling Data'
version: 0.1.5
doi: 10.48550/arXiv.2404.07906
identifiers:
- type: doi
  value: 10.32614/CRAN.package.winn
abstract: Provides a decision-guided workflow for correcting technical variability
  in chemical profiling data. Tests for white noise identify measured features that
  need correction while preserving those that already pass. The workflow combines
  robust outlier adjustment, adaptive drift detection, change-point segmentation,
  batch correction, and probabilistic quotient normalization in a single pipeline
  or as modular steps. It supports parameter tuning using pooled quality-control samples
  as well as operation for studies without pooled controls.
authors:
- family-names: Tanna
  given-names: Tanmay
  email: tanmay@tanmaytanna.com
preferred-citation:
  type: unpublished
  title: 'WiNNbeta: Batch and drift correction method by white noise normalization
    for metabolomic studies'
  authors:
  - family-names: Demler
    given-names: Olga
  - family-names: Giulianini
    given-names: Franco
  - family-names: Liu
    given-names: Yanyan
  - family-names: Londschien
    given-names: Malte
  - family-names: Sjöström
    given-names: Anja
  - family-names: Tanna
    given-names: Tanmay
    email: tanmay@tanmaytanna.com
  - family-names: Luttmann-Gibson
    given-names: Heike
  - family-names: Jeanrenaud
    given-names: Antoine
  year: '2024'
  notes: arXiv:2404.07906
  doi: 10.48550/arXiv.2404.07906
  url: https://arxiv.org/abs/2404.07906
repository: https://ratschlab.r-universe.dev
repository-code: https://github.com/ratschlab/winn
commit: f555ef3b972a8f17610ca3f56d3b9320aea6af7f
url: https://github.com/ratschlab/winn
date-released: '2026-09-16'
contact:
- family-names: Tanna
  given-names: Tanmay
  email: tanmay@tanmaytanna.com