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Utilising Bioinformatics and Machine Learning for Identification of Neonatal Bronchopulmonary Dysplasia Characteristic Genes: Association with Immune Cell Infiltration and a Two-Sample Mendelian Randomisation Study of Immune Outcomes.

2025-02-26

Abstract excerpt

<h4>Background: </h4> : Bronchopulmonary Dysplasia is a relatively common disorder affecting preterm infants, impacting their health and future development. Although machine learning methodologies serve as valuable tools for making predictions and extracting biomedical insights, their use for in-depth analysis and prediction of diseases remains limited. In this study, we employed machine learning techniques to ide...

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Literature Corpus work
48b9a8dc-1617-53b8-9322-99077dc9d8dc
DOI
10.22541/au.174060019.99152289/v1
Open publication

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Utilising Bioinformatics and Machine Learning for Identification of Neonatal Bronchopulmonary Dysplasia Characteristic Genes: Association with Immune Cell Infiltration and a Two-Sample Mendelian Randomisation Study of Immune Outcomes.DOI 10.22541/au.174060019.99152289/v1
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