NEWS
NOVA 0.1.6
Example Dataset Update
- Replaced private example data (MEA022b/MEA022c, Mavs KO genotypes) with
publicly available WT neuron data (MEA012, MEA013)
- Example dataset now uses WT neurons with neuronal agonist treatments:
PBS, KCl, DHPG, Gabazine (MEA012) and PBS, AMPA, KA, DHPG, Gabazine (MEA013)
- Updated all example scripts (nova_quickstart.R, 01_compute.R, 02_plot.R,
mea-analysis-example.Rmd) to reflect WT-only dataset structure
- GENOTYPE_COLUMN now defaults to NULL in quickstart for WT-only datasets
- Removed compiled HTML and figure outputs generated from private dataset
NOVA 0.1.1 (2025-10-16)
CRAN Resubmission Fixes
- Removed all commented code from examples and function bodies
- Fixed DESCRIPTION to spell out Multi-Electrode Array (MEA) without quotes
- Added newlines at end of all R source files
- Fixed parse errors in documentation examples
Initial CRAN Release
This is the first release of NOVA (Neuroactivity Omics Visualization and Analysis), a comprehensive toolkit for analyzing and visualizing Multi-Electrode Array (MEA) data.
Main Features
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Data Processing: Flexible MEA data processing with automatic structure discovery
discover_mea_structure(): Automatically detects data structure
process_mea_flexible(): Processes MEA data with quality filtering options
handle_missing_values(): Multiple strategies for handling missing data
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Principal Component Analysis:
pca_analysis_enhanced(): Comprehensive PCA with visualization
analyze_pca_variable_importance_general(): Variable importance analysis
plot_pca_trajectories_general(): Trajectory visualization across conditions
-
Heatmap Visualization:
create_mea_heatmaps_enhanced(): Publication-ready heatmaps with multiple scaling options
- Support for hierarchical clustering and custom annotations
-
Utility Functions: Helper functions for data manipulation, scaling, and color schemes
Documentation
- Comprehensive function documentation with examples
- Vignettes demonstrating typical workflows
- Support for various MEA data formats