Supplementary Data for the Master Thesis "Evaluating Sparse Autoencoders for Aligning Latent Representations Between Single-Cell Transcriptomics and Single-Cell Proteomics"

DOI

This dataset contains supplementary data supporting the master thesis "Evaluating Sparse Autoencoders for Aligning Latent Representations Between Single-Cell Transcriptomics and Single-Cell Proteomics" by Alina Jäntsch, including trained models, embeddings, and activation tensors generated during the computational analysis workflow.

Identifier
DOI https://doi.org/10.25592/uhhfdm.18973
Related Identifier IsPartOf https://doi.org/10.25592/uhhfdm.18972
Metadata Access https://www.fdr.uni-hamburg.de/oai2d?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:fdr.uni-hamburg.de:18973
Provenance
Creator Jäntsch, Alina
Publisher Universität Hamburg
Publication Year 2026
Rights Closed Access; info:eu-repo/semantics/closedAccess
OpenAccess false
Representation
Resource Type Dataset
Discipline Other