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cff-version: 1.2.0
message: 'To cite package "TorchDecon" in publications use:'
type: software
license: MIT
title: 'TorchDecon: Deep Learning-Based Cell Type Deconvolution Using torch'
version: 1.0.0
doi: 10.32614/CRAN.package.TorchDecon
abstract: A deep neural network ensemble approach for cell type deconvolution of bulk
  RNA-seq data. TorchDecon uses simulated bulk samples generated from single-cell
  RNA-seq data to train deep neural networks that predict cell type fractions. This
  package is an R-native implementation based on the Scaden algorithm, built on the
  torch framework (LibTorch C++ backend) for GPU acceleration and cross-platform compatibility.
  Seamlessly integrates with Seurat objects (v4 and v5 compatible).
authors:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X
repository: https://zaoqu-liu.r-universe.dev
repository-code: https://github.com/Zaoqu-Liu/TorchDecon
commit: 139bac3eecffa73b3f979e2a96463fa13f6f05f6
url: https://github.com/Zaoqu-Liu/TorchDecon
date-released: '2026-01-26'
contact:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X