Network construction, analysis, and comparison for microbial compositional data
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Updated
Apr 27, 2024 - R
Network construction, analysis, and comparison for microbial compositional data
Compositional data analysis in Julia
📦BEEM-Static: An R package for inferring microbial interactions based on Lotka-Volterra models
Inference of microbial interaction networks from large-scale heterogeneous abundance data
Implementation of Semantic Parsing with BERT and compositional pre-training on GeoQuery
R package for Dirichlet adaptive shrinkage and smoothing
Functional programming utilities for PHP
Forecast mortality using Compositional Data Lee-Carter model - R Package
Dirichlet adaptive shrinkage for compositional data
Practical introduction to modelling and testing for structural breaks in time-series data.
Deep learning for personalized interpretability for compositional health data
Official repository for the 3DCoMPaT dataset (ECCV2022 Oral)
Imputation of zeros, nondetects and missing data in compositional data sets
Replication of Frerebeau, N., Ben Amara, A. and Cantin, N. (2020)
Stata module to examine dynamic compositional dependent variables
Simplex space operations for compositional data implemented in Python.
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models.
Web applications for use with compositional data. Post-graduate work for Dr. Dot Dimuid and Prof. Timothy Olds at University of South Australia.
CompSign: An R package for differential abundance of compositional mutational signatures
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