Article

Consensus scHPF Identifies Cell Type-Specific Drug Responses in Glioma by Integrating Large-Scale scRNA-seq

2023-12-07

Abstract excerpt

Single-cell transcriptomic analyses now frequently involve elaborate study designs including samples from multiple individuals, experimental conditions, perturbations, and batches from complex tissues. Dimensionality reduction is required to facilitate integration, interpretation, and statistical analysis. However, these datasets often include subtly different cellular subpopulations or state transitions, which ar...

Topics

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

Identifiers and source

Literature Corpus work: a85d2496-0c8c-5a4e-aef6-3943c0687798
DOI: 10.1101/2023.12.05.570193

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Consensus scHPF Identifies Cell Type-Specific Drug Responses in Glioma by Integrating Large-Scale scRNA-seqDOI 10.1101/2023.12.05.570193Read

A single-cell atlas linking intratumoral states to therapeutic vulnerabilities across cancersSemantic proximity Read

Resolving malignant cell heterogeneity from bulk tumor RNA-seq data with CDStateSemantic proximity Read

Predicting heterogeneity in clone-specific therapeutic vulnerabilities using single-cell transcriptomic signaturesSemantic proximity Read

KINOMO: A non-negative matrix factorization framework for recovering intra- and inter-tumoral heterogeneity from single-cell RNA-seq dataSemantic proximity Read

Bayesian cell-type deconvolution and gene expression inference reveals tumor-microenvironment interactionsSemantic proximity Read

Reconstructing the regulatory programs underlying the phenotypic plasticity of neural cancers.Semantic proximity Read

Deconvolution of Cell Type-Specific Drug Responses in Human Tumor Tissue with Single-Cell RNA-seqSemantic proximity Read

Multimodal integration of single cell ATAC-seq data enables highly accurate delineation of clinically relevant tumor cell subpopulationsSemantic proximity Read

A Multimodal Framework to Uncover Drug-Responsive Subpopulations in Triple-Negative Breast CancerSemantic proximity Read

Joint Gene Network Construction by Single-Cell RNA Sequencing DataSemantic proximity Read

A multitask single-cell analysis framework with knowledge graph as a priorSemantic proximity Read

Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decompositionSemantic proximity Read