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Article
Open AccessN-of-1-pathways MixEnrich: advancing precision medicine via single-subject analysis in discovering dynamic changes of transcriptomes
Transcriptome analytic tools are commonly used across patient cohorts to develop drugs and predict clinical outcomes. However, as precision medicine pursues more accurate and individualized treatment decisions...
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Article
Open AccessNovel disease syndromes unveiled by integrative multiscale network analysis of diseases sharing molecular effectors and comorbidities
Forty-two percent of patients experience disease comorbidity, contributing substantially to mortality rates and increased healthcare costs. Yet, the possibility of underlying shared mechanisms for diseases rem...
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Article
Open AccessEvaluating single-subject study methods for personal transcriptomic interpretations to advance precision medicine
Gene expression profiling has benefited medicine by providing clinically relevant insights at the molecular candidate and systems levels. However, to adopt a more ‘precision’ approach that integrates individua...
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Article
Open AccessbinomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
In this era of data science-driven bioinformatics, machine learning research has focused on feature selection as users want more interpretation and post-hoc analyses for biomarker detection. However, when ther...
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Article
Open AccessCorrection to: binomialRF: interpretable combinatoric efficiency of random forests to identify biomarker interactions
An amendment to this paper has been published and can be accessed via the original article.