iexpressyouRcell

iexpressyouRcell visualizes multi-dimensional gene expression and protein level dynamics as dynamic cellular pictographs and thematic maps to aid interpretation of single-cell RNA sequencing (RNA-seq), bulk RNA-seq, and proteomics data.

Key Features:

• Multi-Dimensional Visualization: Maps variations in transcript and protein levels across multiple dimensions into pictographic representations.
• Dynamic Cellular Pictographs: Generates dynamic cellular pictographs to represent gene expression and protein level changes across measurements such as time points and single-cell trajectories.
• Flexibility Across Data Types: Applies to single-cell RNA sequencing (RNA-seq), bulk RNA-seq, and proteomics datasets.
• Thematic Mapping from Quantitative Data: Converts quantitative expression and protein-level data into thematic maps.
• R-based Implementation: Implements visualization and data transformation using R programming capabilities.

Scientific Applications:

• Temporal Dynamics: Visualization of gene expression and protein-level changes over time series experiments.
• Spatial and Contextual Mapping: Mapping expression variation across spatial contexts or experimental conditions.
• Single-Cell Transcriptomics: Representation of single-cell RNA-seq trajectories and cell-type-specific expression patterns.
• Proteomics Integration: Joint visualization of proteomics and transcriptomics data to interpret protein-level changes alongside gene expression.

Methodology:

Transforms gene expression and proteomics data into thematic maps and dynamic pictographs by leveraging R programming to encapsulate multi-dimensional variations in transcript and protein levels.