Discover tagtag/TD-multiOmics Open Source project

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Created almost 7 years ago
Updated over 6 years ago

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Tensor decomposition based unsupervised feature extraction was applied to multiomics data which was used for performance evaluation of DAIBLO algorithm implemented in mixOmics package

TDbasedUFE

This is a R package that intends to perform all the features possible by tensor decomposition based unsupervised feature extraction

LatLRR

Latent Low Rank Representation in R

scMultiR

This is a R source code by which we can perform the analysis described in the following preprint Tensor-decomposition–based unsupervised feature extraction in single-cell multiomics data analysis Y-h. Taguchi, Turki Turki https://doi.org/10.3390/genes12091442

Behaviormetric

こちらは2021秋の行動計量セミナーの実習用ホームページです

Jupyter Notebook

MultiR

This is a R code to perform the analysis in our paper Y-h. Taguchi & Turki Turki Novel feature selection via kernel tensor decomposition for improved multi-omics data analysis https://doi.org/10.1186/s12920-022-01181-4

Python

TD_based_FE

Sample R code used for "Tensor decomposition-based unsupervised feature extraction identifies candidate genes that induce post-traumatic stress disorder-mediated heart diseases" https://doi.org/10.1186/s12920-017-0302-1

tagtag/TD-multiOmics

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