Similarity-Based Predictive Models: Sensitivity Analysis and a Biological Application with Multi-Attributes

Similarity-Based Predictive Models: Sensitivity Analysis and a Biological Application with Multi-Attributes

Predictive models based on empirical similarity are instrumental in biology and data science, where the premise is to measure the likeness of one observation with others in the same dataset. Biological datasets often encompass data that can be categorized. When using empirical similarity-based predi...

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Bibliographic Details
Main Authors: Jeniffer D. Sanchez, Leandro C. Rêgo, Raydonal Ospina, Víctor Leiva, Christophe Chesneau, Cecilia Castro
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Biology
Subjects:
biological data
coefficient of variation
data science
distance measures
estimation methods
Monte Carlo simulation
Online Access:https://www.mdpi.com/2079-7737/12/7/959

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https://www.mdpi.com/2079-7737/12/7/959

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