Article

A scalable computational framework for annotation-independent combinatorial target identification in scRNA-seq databases

2024-06-28

Abstract excerpt

The applicability of novel targeted cell therapies is constrained by on-target off-tumor toxicities, posing significant challenges for safe and effective treatment. To develop strategies for mitigating these toxicities, a comprehensive understanding of the distribution of single-cell profiles across human tissues is essential. Single-cell RNA sequencing (scRNA-seq) provides detailed insights into cellular diversit...

Topics

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

Identifiers and source

Literature Corpus work: 2b7011d0-d7e0-5f99-bc6e-3f11dd384aa6
DOI: 10.1101/2024.06.24.600275

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

A scalable computational framework for annotation-independent combinatorial target identification in scRNA-seq databasesDOI 10.1101/2024.06.24.600275Read

PalmaClust: A graph-fusion framework leveraging the Palma ratio for robust ultra-rare cell type detection in scRNA-seq dataSemantic proximity Read

COMPARISON OF HIGH-THROUGHPUT SINGLE-CELL RNA-SEQ METHODS FOR EX VIVO DRUG SCREENINGSemantic proximity Read

Comparison of high-throughput single-cell RNA-seq methods for ex vivo drug screeningSemantic proximity Read

SigBridgeR: An Integrative Framework and Toolkit for Comprehensive Screening and Benchmarking of Phenotype-Associated Cell Subpopulations in Single-Cell TranscriptomicsSemantic proximity Read

scPanel: A tool for automatic identification of sparse gene panels for generalizable patient classification using scRNA-seq datasetsSemantic proximity Read

scPharm: identifying pharmacological subpopulations of single cells for precision medicine in cancersSemantic proximity Read

<i>CROCKETA:</i> An automated framework for comprehensive multi-omic analysis of gene expression and clonotype immune repertoire at a single-cell levelSemantic proximity Read

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumorsSemantic proximity Read

Rapid Single Cell Evaluation of Human Disease and Disorder Targets Using REVEAL: SingleCell <sup>™</sup>Semantic proximity Read

Single-cell-guided identification of logic-gated antigen combinations for designing effective and safe CAR therapySemantic proximity Read

SCAN-ACT: Adoptive T Cell Therapy Target Discovery Through Single-Cell TranscriptomicsSemantic proximity Read

Single-cell genomics links CAR architectures to in vivo effector chromatin states in T cells responding to antigen-low leukemiaSemantic proximity Read