Article

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

2022-06-16

Abstract excerpt

<title>Abstract</title> <p>Tailoring the best treatments for individual cancer patients is an important open challenge. Here, we build a precision oncology computational pipeline for PERsonalized single-Cell Expression-based Planning for Treatments In ONcology (PERCEPTION). Our approach capitalizes on recently published matched bulk and single-cell (SC) transcriptome profiles of large-scale cell-line drug screens...

Topics

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

Identifiers and source

Literature Corpus work: a58eb8b8-7506-5202-805a-c1e48e5355ea
DOI: 10.21203/rs.3.rs-1641376/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumorsDOI 10.21203/rs.3.rs-1641376/v1Read

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

Predicting drug response from single-cell expression profiles of tumoursSemantic proximity Read

Clinically oriented prediction of patient response to targeted and immunotherapies from the tumor transcriptomeSemantic proximity Read

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profilesSemantic proximity Read

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

Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous TumorsSemantic proximity Read

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer studySemantic proximity Read

Single-cell transcriptomes identify patient-tailored therapies for selective co-inhibition of cancer clonesSemantic proximity Read

Beyondcell: targeting cancer therapeutic heterogeneity in single-cell RNA-seqSemantic proximity Read

scDrugAtlas: an integrative single-cell drug response database for dissecting tumor heterogeneity in therapeutic efficacySemantic proximity Read

Dr.Paso: Drug response prediction and analysis system for oncology researchSemantic proximity Read

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancerSemantic proximity Read