Publications by authors named "Sid Puram"
Motivation: The use of single-cell methods is expanding at an ever-increasing rate. While there are established algorithms that address cell classification, they are limited in terms of cross platform compatibility, reliance on the availability of a reference dataset and classification interpretability. Here, we introduce Pollock, a suite of algorithms for cell type identification that is compatible with popular single-cell methods and analysis platforms, provides a set of pretrained human cancer reference models, and reports interpretability scores that identify the genes that drive cell type classifications.
View Article and Find Full Text PDFArticle Synopsis
- This study aimed to evaluate whether the length of stay (LOS) in the hospital after surgery could indicate the likelihood of positive surgical margins in patients with oral cavity squamous cell carcinoma (OCSCC).
- Researchers analyzed data from over 10,000 patients and found that those with a shorter LOS (≤4 days) were more likely to have positive margins, particularly those with clinical T2-3 tumors.
- The findings suggest that longer hospital stays (LOS >4 days), which may indicate flap reconstruction procedure, are associated with better surgical margins and potentially improved survival outcomes.