PROVAL: A framework for comparison of protein sequence embeddings-Reference-Cited by-同舟云学术

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PROVAL: A framework for comparison of protein sequence embeddings

Published:2022-06 Issue: Volume:3 Page:100044
ISSN:2772-4158
Container-title:Journal of Computational Mathematics and Data Science
language:en
Short-container-title:Journal of Computational Mathematics and Data Science

Author:

Väth Philipp^ORCID,Münch Maximilian,Raab Christoph,Schleif F.-M.

Publisher

Elsevier BV

Reference89 articles.

1. The Data Science Design Manual;Skiena,2017

2. Nonlinear Dimensionality Reduction;Lee,2007

3. Non-euclidean dissimilarities: Causes and informativeness;Duin,2010

4. Low-dimensional representation of biological sequence data;Tillquist,2019

5. UniProt: a worldwide hub of protein knowledge;Nucleic Acids Res,2018

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4. Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

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