HIDE-Deconv improves deconvolution by analyzing cellular composition across multiple resolution levels, revealing hidden cellular remodeling in diseases.

DOI 10.64898/2026.08.24.746754

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedJul 1, 2025

HIDE: Hierarchical cell-type Deconvolution

Dennis Voelkl, Malte Mensching-Buhr, Thomas Sterr…·Franziska Görtler

HIDE improves cell-type deconvolution by incorporating a cell hierarchy, showing better performance in simulations and applied to breast cancer data.

DOI 10.1093/bioinformatics/btaf179

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 9, 2025

TCRanalyzer: A user-friendly tool for comprehensive analysis of T-cell diversity, dynamics and potential antigen targets

Nicole Seifert, Sarah Reinke, Nadine S. Kurz…·Michael Altenbuchinger

TCRanalyzer provides a user-friendly tool for analyzing TCR diversity, clonal expansion, and antigen specificity across tumor datasets.

DOI 10.1101/2025.05.09.652820

humanstatistical model

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 8, 2025

DynaMiCs - Dynamic cell-type deconvolution ensembles for Mapping in mixed Conditions

Nicole Seifert, Laurenz Engel, Jana Tauschke…·Michael Altenbuchinger

DynaMiCs integrates single-cell and bulk transcriptomics data to improve cell-type deconvolution and map population changes between phenotypes.

DOI 10.1101/2025.05.08.652868

bulk RNA-seqscRNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintNov 28, 2024

Deconvolution of omics data in Python with Deconomix -- cellular compositions, cell-type specific gene regulation, and background contributions

Malte Mensching-Buhr, Thomas Sterr, Nicole Seifert…·Michael Altenbuchinger

Deconomix deconvolves bulk transcriptomics data to estimate cell compositions, background contributions, and cell-type-specific gene regulation.

1 citation

humanbulk RNA-seq

𝕏 PostBluesky

Systems BiologybioRxivPreprintNov 10, 2023

PriOmics: integration of high-throughput proteomic data with complementary omics layers using mixed graphical modeling with group priors

Robin Kosch, Katharina Limm, Annette M. Staiger…·Michael Altenbuchinger

PriOmics integrates proteomics with other omics data using graphical models to better understand relationships between proteins and their modifications.

3 citations

humanproteomics

𝕏 PostBluesky