Article

FuncDECODE Resolves Cell-Type-Specific Functional Heterogeneity across Biological States and Spatial Contexts

2026-07-30

Abstract excerpt

<title>Abstract</title> <p>Functional remodeling of tissues is driven not only by changes in cellular composition, but also by shifts in how individual cell types engage biological programs across disease states, biological transitions and therapeutic contexts. Single-cell transcriptomics provides a direct view of cell-type functional heterogeneity, but its limited cohort scale restricts population-level associat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3ff18225-fb4f-5238-972b-64986392f057
DOI: 10.21203/rs.3.rs-10280332/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

FuncDECODE Resolves Cell-Type-Specific Functional Heterogeneity across Biological States and Spatial ContextsDOI 10.21203/rs.3.rs-10280332/v1Read

CellTFusion: a transcriptional regulatory network framework for the identification of functional multicellular states from bulk RNA-seq dataSemantic proximity Read

Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease statesSemantic proximity Read

Starfysh reveals heterogeneous spatial dynamics in the breast tumor microenvironmentSemantic proximity Read

S-MiXcan: Inferring Cell-Type-Level Transcriptome-Wide Associations from Bulk Transcriptomics Using GWAS Summary StatisticsSemantic proximity Read

Robust identification of perturbed cell types in single-cell RNA-seq dataSemantic proximity Read

High-resolution reconstruction of cell-type specific transcriptional regulatory processes from bulk sequencing samplesSemantic proximity Read

Comparing phenotypic manifolds with Kompot: Detecting differential abundance and gene expression at single-cell resolutionSemantic proximity Read

The expression patterns of different cell types and their interactions in the tumor microenvironment are predictive of breast cancer patient response to neoadjuvant chemotherapySemantic proximity Read

Integrative single cell analysis to decode transcriptomic heterogeneity in pulmonary fibrosis across diverse pathologiesSemantic proximity Read

Genular: An Integrated Platform for Defining Cellular Identity and Function through Single-Cell Gene Expression and Multi-Domain Biological DataSemantic proximity Read

<i>multideconv</i> - an integrative pipeline for efficiently combining first and second generation cell type deconvolution resultsSemantic proximity Read

Enhanced prediction of breast cancer patient response to chemotherapy by integrating deconvolved expression patterns of immune, stromal and tumor cellsSemantic proximity Read