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Microbiome research is now moving beyond the compositional analysis of microbial taxa in a sample. Increasing evidence from large human …

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Motivation: The collection of temporal or perturbed data is often a prerequisite for reconstructing dynamic networks in most cases.

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract In recent years, there has been a growing recognition that P values, albeit useful in reporting data analysis results, have often been misused or misinterpreted in biomedical research.

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Background: Exposures to arsenic (As) and cadmium (Cd) have been associated with higher prostate cancer (PC) mortality; however, these associations have been inconsistent.

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Abstract Objective: Previous studies found that arsenic exposures have been linked to prostate cancer risk.

Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. ABSTRACT Modulation of commensal gut microbiota is increasingly recognized as a promising strategy to reduce mortality in patients with malignant diseases, but monitoring for dysbiosis is generally not routine clinical practice due to equipment, expertise and funding required for sequencing analysis.

In this study, various beta diversity and clustering methods commonly used in microbiome analysis were systematically compared. No single method was consistently better, but certain methods underperformed in specific scenarios. A combined metric of Bray Curtis and unweighted UniFrac was proposed, tested, and found to perform well across all datasets.

Not all patients with cancer and severe neutropenia develop fever, and the fecal microbiome may play a role. In a single-center study …