xxx model

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Philipp Putze

DOI: 10.5281/zenodo.18299041

Cited by: 0

Abstract

Model specifications: - scVI: n_layers=2, n_hidden=256, n_latent=20, gene_likelihood=zinb - scANVI: trained with Level_2 cell type annotations - Batch key: sample

Fields of Study & Subjects

Single-cell and spatial transcriptomics Gene expression and cancer classification Gene Regulatory Network Analysis

Publication details

Journal / source: Zenodo (CERN European Organization for Nuclear Research)
Publication date: 19 January 2026