Package: NOVA 0.5.0

Alex Tudoras

NOVA: Neural Output Visualization and Analysis

A toolkit for analyzing and visualizing Multi-Electrode Array (MEA) neural recordings, from raw CSV discovery through Principal Component Analysis (PCA), heatmaps, per-metric plots, and trajectory visualization. A lightweight trajectory-summary layer describes how experimental conditions move through state space relative to baseline (distance travelled, path directness, and timing), with robust timepoint ordering and a plain-language interpretation helper. Provides publication-ready visualizations with flexible customization options for neuroscience research applications.

Authors:Alex Tudoras [aut, cre]

NOVA_0.5.0.tar.gz
NOVA_0.5.0.zip(r-4.7)NOVA_0.5.0.zip(r-4.6)NOVA_0.5.0.zip(r-4.5)
NOVA_0.5.0.tgz(r-4.6-any)NOVA_0.5.0.tgz(r-4.5-any)
NOVA_0.5.0.tar.gz(r-4.7-any)NOVA_0.5.0.tar.gz(r-4.6-any)
NOVA_0.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NOVA/json (API)

# Install 'NOVA' in R:

install.packages('NOVA', repos = c('https://atudoras.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/atudoras/nova/issues

On CRAN:

4.86 score 18 scripts 344 downloads 18 exports 76 dependencies

Last updated from:206cb603a3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	175
source / vignettes	OK	244
linux-release-x86_64	OK	175
macos-release-arm64	OK	123
macos-oldrel-arm64	OK	103
windows-devel	OK	122
windows-release	OK	114
windows-oldrel	OK	105
wasm-release	OK	131

Exports:analyze_pca_variable_importance_general create_mea_heatmaps_enhanced discover_mea_structure nova_describe nova_extract_trajectories nova_order_timepoints nova_palette nova_theme nova_time_to_minutes nova_trajectory_summary nova_unit_cols nova_unit_id pca_analysis_enhanced pca_plots_enhanced plot_mea_metric plot_pca_trajectories_general process_mea_flexible process_mea_table

Dependencies:base64enc bit bit64 bslib cachem cellranger cli clipr cpp11 crayon crosstalk digest dplyr DT evaluate farver fastmap fontawesome fs generics ggplot2 ggrepel glue gridExtra gtable highr hms htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling later lazyeval lifecycle magrittr memoise mime otel pheatmap pillar pkgconfig prettyunits progress promises purrr R6 rappdirs RColorBrewer Rcpp readr readxl rematch rlang rmarkdown S7 sass scales stringi stringr tibble tidyr tidyselect tinytex tzdb utf8 vctrs viridis viridisLite vroom withr writexl xfun yaml

NOVA: summarising how conditions move through state space

Rendered fromNOVA_Trajectory_Summary.Rmdusingknitr::rmarkdown

Last update: 2026-06-23
Started: 2026-06-23

Help page	Topics
Analyze and Visualize PCA Variable Importance	analyze_pca_variable_importance_general
Create Enhanced Heatmaps for Multi-Electrode Array (MEA) Data Analysis	create_mea_heatmaps_enhanced
Discover MEA Data Structure	discover_mea_structure
Plain-language interpretation of a trajectory summary	nova_describe
Extract ordered state-space trajectories from a PCA (or embedding) result	nova_extract_trajectories
Order timepoint labels into a biologically correct sequence	nova_order_timepoints
NOVA qualitative / sequential colour palette	nova_palette
NOVA dynamics ggplot2 theme	nova_theme
Parse timepoint labels to numeric minutes	nova_time_to_minutes
Summarise how conditions move through state space	nova_trajectory_summary
Which columns identify one replicate well	nova_unit_cols
Collapse well identity into a single label	nova_unit_id
Enhanced PCA Analysis for MEA Data	pca_analysis_enhanced
Enhanced PCA Plotting for Neural and Omics Data	pca_plots_enhanced
Plot a Single MEA Metric Across Conditions	plot_mea_metric
Plot PCA Trajectories for Time Series Data	plot_pca_trajectories_general
Process MEA Data Flexibly	process_mea_flexible
Process an already-tidy MEA metrics table	process_mea_table

Package: NOVA 0.5.0

NOVA: Neural Output Visualization and Analysis

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Help Manual

Usage by other packages (reverse dependencies)