🌐 Sourcing Archaeological Materials by Chemical Composition
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Updated
Apr 30, 2024 - R
🌐 Sourcing Archaeological Materials by Chemical Composition
Compositional data analysis in Julia
Inference of microbial interaction networks from large-scale heterogeneous abundance data
Imputation of zeros, nondetects and missing data in compositional data sets
Hopefully taking out the complexity of using the simplex: functions to generate, manipulate and plot data on the simplex
CompSign: An R package for differential abundance of compositional mutational signatures
Network construction, analysis, and comparison for microbial compositional data
Forecasting the four-party vote share of the 20th presidential election of Republic of Korea
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models.
Official repository for the 3DCoMPaT dataset (ECCV2022 Oral)
Using champion mastery data from Rot games API to visualize champion connections based on correlation metrics of compositional data in a network. Unsupervised learning was also used to categorize the champions. Lastly, weighted graph distance was used to make a recommender system for new champions based on played chamoions input.
Practical introduction to modelling and testing for structural breaks in time-series data.
Archive: Data, scripts, and outputs for the paper "Sparse Estimation of Correlations among Microbiomes (SECOM)". Please check our ANCOMBC R package for the most up-to-date SECOM functions.
Deep learning for personalized interpretability for compositional health data
Simplex space operations for compositional data implemented in Python.
📦BEEM-Static: An R package for inferring microbial interactions based on Lotka-Volterra models
Functional programming utilities for PHP
Replication of Frerebeau, N., Ben Amara, A. and Cantin, N. (2020)
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