TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction

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Authors

Yoshihiro Taguchi¹

1. Chuo University

Conference / event

Seventh International Workshop on Symbolic-Neural Learning (SNL2023), June 2023 (Tokyo, Japan)

Poster summary

I have introduced two recently published two bioconductor pacckages, TDbasedUFE and TDbasedUFEadv, that can perform tensor decomposition unsupervised feature extraction.

Keywords

Bioconductor, Tensor decomposition, Unsupervised

Research areas

Bioinformatics and Genomics

References

1. Taguchi Y-h and Turki T (2023) Application note: TDbasedUFE and TDbasedUFEadv: bioconductor packages to perform tensor decomposition based unsupervised feature extraction. Front. Artif. Intell. 6:1237542. doi: 10.3389/frai.2023.1237542
2. Taguchi Y-h (2023). TDbasedUFEadv: Advanced package of tensor decomposition based unsupervised feature extraction, https://doi.org/doi:10.18129/B9.bioc.TDbasedUFEadv
3. Taguchi Y^h (2023). TDbasedUFE: Tensor Decomposition Based Unsupervised Feature Extraction. https://doi.org/doi:10.18129/B9.bioc.TDbasedUFE

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

Creative Commons license

Copyright © 2023 Taguchi. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.