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A Robust and Interpretable Feature Engineering Approach for Low-Data Biological Classification

2026-01-02

Abstract excerpt

Accurate biological classification often faces challenges from high-dimensional data and limited samples, leading to model overfitting and poor interpretability. This study introduces Directional Flow Embedding (DFE), a novel feature engineering and embedding method designed to overcome these issues. DFE transforms raw biological data into three concise and biologically interpretable features: Directional Flow Sco...

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Literature Corpus work
9f08f558-9e79-57bd-9109-2fdb7f8d7f01
DOI
10.64898/2026.01.02.697379
Open publication

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A Robust and Interpretable Feature Engineering Approach for Low-Data Biological ClassificationDOI 10.64898/2026.01.02.697379
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