Cargando…

BodyMapR: an R package and Shiny application designed to generate anatomical visualizations of cancer lesions

OBJECTIVES: Structured real-world data (RWD), such as those found in cancer registries, provide a rich source of information regarding the natural history of cancer. Interactive data visualizations of cancer lesions can provide insights into certain clinical tumor characteristics (CTC). Software tha...

Descripción completa

Detalles Bibliográficos
Autores principales:	Miller, David M, Shalhout, Sophia Z
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Application Notes
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903180/ https://www.ncbi.nlm.nih.gov/pubmed/35274087 http://dx.doi.org/10.1093/jamiaopen/ooac013

Ejemplares similares

StoryboardR: an R package and Shiny application designed to visualize real-world data from clinical patient registries
por: Miller, David M, et al.
Publicado: (2023)

GENETEX—a GENomics Report TEXt mining R package and Shiny application designed to capture real-world clinico-genomic data
por: Miller, David M, et al.
Publicado: (2021)

twoddpcr: an R/Bioconductor package and Shiny app for Droplet Digital PCR analysis
por: Chiu, Anthony, et al.
Publicado: (2017)

spatialTIME and iTIME: R package and Shiny application for visualization and analysis of immunofluorescence data
por: Creed, Jordan H, et al.
Publicado: (2021)

UCSCXenaShiny: an R/CRAN package for interactive analysis of UCSC Xena data
por: Wang, Shixiang, et al.
Publicado: (2021)

CANDI: an R package and Shiny app for annotating radiographs and evaluating computer-aided diagnosis
por: Badgeley, Marcus A, et al.
Publicado: (2019)

VCFshiny: an R/Shiny application for interactively analyzing and visualizing genetic variants
por: Chen, Tao, et al.
Publicado: (2023)

ddPCRclust: an R package and Shiny app for automated analysis of multiplexed ddPCR data
por: Brink, Benedikt G, et al.
Publicado: (2018)

cerebroViz: an R package for anatomical visualization of spatiotemporal brain data
por: Bahl, Ethan, et al.
Publicado: (2017)

shinyChromosome: An R/Shiny Application for Interactive Creation of Non-circular Plots of Whole Genomes
por: Yu, Yiming, et al.
Publicado: (2019)

DEGGs: an R package with shiny app for the identification of differentially expressed gene–gene interactions in high-throughput sequencing data
por: Sciacca, Elisabetta, et al.
Publicado: (2023)

Digital PCR cluster predictor: a universal R-package and shiny app for the automated analysis of multiplex digital PCR data
por: De Falco, Alfonso, et al.
Publicado: (2023)

IVAG: An Integrative Visualization Application for Various Types of Genomic Data Based on R-Shiny and the Docker Platform
por: Lee, Tae-Rim, et al.
Publicado: (2017)

powerEQTL: an R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis
por: Dong, Xianjun, et al.
Publicado: (2021)

EDTox: an R Shiny application to predict the endocrine disruption potential of compounds
por: Sakhteman, Amirhossein, et al.
Publicado: (2022)

CCPlotR: an R package for the visualization of cell–cell interactions
por: Ennis, Sarah, et al.
Publicado: (2023)

Methylscaper: an R/Shiny app for joint visualization of DNA methylation and nucleosome occupancy in single-molecule and single-cell data
por: Knight, Parker, et al.
Publicado: (2021)

spiralize: an R package for visualizing data on spirals
por: Gu, Zuguang, et al.
Publicado: (2021)

UpSetR: an R package for the visualization of intersecting sets and their properties
por: Conway, Jake R, et al.
Publicado: (2017)

SPADEVizR: an R package for visualization, analysis and integration of SPADE results
por: Gautreau, Guillaume, et al.
Publicado: (2017)

ShinyArchR.UiO: user-friendly,integrative and open-source tool for visualization of single-cell ATAC-seq data using ArchR
por: Sharma, Ankush, et al.
Publicado: (2021)

DepLink: an R Shiny app to systematically link genetic and pharmacologic dependencies of cancer
por: Nayak, Tapsya, et al.
Publicado: (2023)

linkcomm: an R package for the generation, visualization, and analysis of link communities in networks of arbitrary size and type
por: Kalinka, Alex T., et al.
Publicado: (2011)

treeheatr: an R package for interpretable decision tree visualizations
por: Le, Trang T, et al.
Publicado: (2020)

MicrobiomeExplorer: an R package for the analysis and visualization of microbial communities
por: Reeder, Janina, et al.
Publicado: (2020)

checkMyIndex: a web-based R/Shiny interface for choosing compatible sequencing indexes
por: Varet, Hugo, et al.
Publicado: (2019)

beeRapp: an R shiny app for automated high-throughput explorative analysis of multivariate behavioral data
por: Busch, Anne Marie, et al.
Publicado: (2022)

GRETTA: an R package for mapping in silico genetic interaction and essentiality networks
por: Takemon, Yuka, et al.
Publicado: (2023)

Pathview: an R/Bioconductor package for pathway-based data integration and visualization
por: Luo, Weijun, et al.
Publicado: (2013)

poRe: an R package for the visualization and analysis of nanopore sequencing data
por: Watson, Mick, et al.
Publicado: (2015)

dendextend: an R package for visualizing, adjusting and comparing trees of hierarchical clustering
por: Galili, Tal
Publicado: (2015)

TRAPR: R Package for Statistical Analysis and Visualization of RNA-Seq Data
por: Lim, Jae Hyun, et al.
Publicado: (2017)

cytomapper: an R/Bioconductor package for visualization of highly multiplexed imaging data
por: Eling, Nils, et al.
Publicado: (2020)

bubbleHeatmap: an R package for visualization of Nightingale Health metabolomics datasets
por: Boxall, Ruth, et al.
Publicado: (2023)

crosshap: R package for local haplotype visualization for trait association analysis
por: Marsh, Jacob I, et al.
Publicado: (2023)

aPEAR: an R package for autonomous visualization of pathway enrichment networks
por: Kerseviciute, Ieva, et al.
Publicado: (2023)

CellWalkR: an R package for integrating and visualizing single-cell and bulk data to resolve regulatory elements
por: Przytycki, Pawel F, et al.
Publicado: (2022)

ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2
por: Gustavsson, Emil K, et al.
Publicado: (2022)

V-SVA: an R Shiny application for detecting and annotating hidden sources of variation in single-cell RNA-seq data
por: Lawlor, Nathan, et al.
Publicado: (2020)

ShinyBioHEAT: an interactive shiny app to identify phenotype driver genes in E.coli and B.subtilis
por: Wang, Chen, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_i01ag982sfe624ijinupbgbuqm