This paper presents a filter-based feature selection method that is suitable for positional modeling of biological sequences. The basic motivation is the ...
Nov 6, 2008 · This paper presents a filter-based feature selection method that is suitable for positional modeling of biological sequences. The basic ...
This paper presents a filter-based feature selection method that is suitable for positional modeling of biological sequences. The basic motivation is the ...
The proposed filter-based feature selection method yields to superior classification accuracy compared to the individual positional models, ...
Bibliographic details on Variable-length Positional Modeling for Biological Sequence Classification.
This paper presents a filter-based feature selection method that is suitable for positional modeling of biological sequences. The basic motivation is the ...
In this paper, we propose a data-driven segmentation approach for dividing biological sequences into frequent variable-length sub-sequences inspired.
Biological Sequence Classification: A Review on Data and General ...
spj.science.org › doi › research
Dec 19, 2022 · In this review, we mainly focus on the function and modification classification of biological sequences based on machine learning.
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Jan 28, 2022 · PoSHAP should have widespread utility for interpreting a variety of models trained from biological sequences. Author summary. Machine learning ...
Jul 1, 2023 · Conventional biological sequence analyses break sequences into arbitrary length blocks known as k-mers, since the natural language concept of a ...