Shiny App to perform NCA on (pre-)clinical data
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Updated
Nov 12, 2025 - R
Shiny App to perform NCA on (pre-)clinical data
An R package is designed to perform all noncompartmental analysis (NCA) calculations for pharmacokinetic (PK) data.
An application for creating a test CA, signing XML using NCALayer and test user certificate, verifying xml signatures using Kalkan.
This project explores breast cancer classification and survival analysis using RNA-seq data from The Cancer Genome Atlas (TCGA-BRCA). The workflow includes differential expression analysis (DEA), dimensionality reduction, and machine learning models for tumor vs. normal classification, cancer stage prediction, and patient survival analysis.
Neural Cellular Automata as a universal digital computing substrate accelerated with JAX
A curated list of anything related to Neural Cellular Automata (NCA) research, frameworks and applications.
Non-compartmental pharmacokinetics analysis for Julia.
JS клиент для NCALayer стремящийся быть максимально простым в использовании
NCA-SEM module for Jamovi. Necessary Condition Analysis via Structural Equation Modeling (NCA-SEM) is a data analysis method that is used to identify the necessary conditions for a desired outcome
openNCA computation engine is an R package that provides for generation of pharmacokinetic parameter estimates using non-compartmental (NCA) pharmacokinetic analysis methods.
Rust library for pharmacokinetic non-compartmental analysis
Should This Loan be Approved or Denied?
Notes, tutorials, code snippets and templates focused on dimensionality reduction methods for Machine Learning
Code for 'Hierarchical Neural Cellular Automata' (Alife 2023)
This project implements two algorithms, K-Nearest Neighbors (KNN) and Large Margin Nearest Neighbor (LMNN) using the Neighbourhood Component Analysis (NCA) approach.
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