tRigon

tRigon enables integrative analysis of high-dimensional omics and pathomics datasets to support morphological phenotyping while addressing outlier variability and inherent missingness.

Key Features:

• Automated analysis: Automates key data processing steps for histopathological analysis and morphological phenotyping.
• Reproducibility: Provides standardized workflows and consistent computational methods to ensure reproducible results.
• Pathomics focus: Explicitly targets pathomics and histopathology data characteristics, including outlier variability and inherent missingness.
• Versatile data handling: Handles small, medium, and large datasets across varying hardware configurations.
• Comprehensive feature analysis: Supports a wide range of exploratory feature analyses for high-dimensional omics data.
• R implementation: Implemented as an R package for computational analyses.

Scientific Applications:

• Histopathology and morphological phenotyping: Enables extraction and analysis of tissue morphology features from pathomics datasets for phenotypic characterization.
• Cancer research and integrative omics: Supports integration of omics and morphological data to investigate tissue-level molecular alterations in cancer research.

Methodology:

Implemented in R and integrates computational techniques to handle outlier variability, missingness, and exploratory feature analyses for pathomics and omics datasets.