Article

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancer

2020-02-12

Abstract excerpt

<h4>Summary</h4> A significant challenge in the field of biomedicine is the development of methods to integrate the multitude of dispersed data sets into comprehensive frameworks to be used to generate optimal clinical decisions. Recent technological advances in single cell analysis allow for high-dimensional molecular characterization of cells and populations, but to date, few mathematical models have attempted...

Topics

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

Identifiers and source

Literature Corpus work: 41f8f7d3-1b1c-5825-97a8-99353ffdac90
DOI: 10.1101/2020.02.11.943738

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrating multimodal data sets into a mathematical framework to describe and predict therapeutic resistance in cancerDOI 10.1101/2020.02.11.943738Read

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

Computational quantification and characterization of independently evolving cellular subpopulations within tumors is critical to inhibit anti-cancer therapy resistanceSemantic proximity Read

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

Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancersSemantic proximity Read

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

Deciphering the Signaling Network Landscape of Breast Cancer Improves Drug Sensitivity PredictionSemantic proximity Read

Deciphering intratumoral heterogeneity using integrated clonal tracking and single-cell transcriptome analysesSemantic proximity Read

Identifying key regulatory genes in drug resistance acquisition: Modeling pseudotime trajectories of single-cell transcriptomeSemantic proximity Read

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

Single cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancersSemantic proximity Read

An Integrative Model of Single Cell Transcriptomic States for Triple-Negative Breast CancerSemantic proximity Read

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