eLife

CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
IEEE

Comparative Study of Feature Selection Algorithms for Text Analytics: A Performance and Efficiency Analysis

Abstract: In text analytics, high-dimensional datasets frequently impede model performance, rendering feature selection an essential process for enhancing accuracy and computing efficiency. This study ...
ahajournals.org

Abstract 4340723: Comparative Study of Coronary Artery Disease (CAD) Prediction: Conventional QRISK3 vs. Enhanced Machine Learning Models Combined with Particle Swarm ...

Background: Coronary Artery Disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early detection is essential for the primary prevention of CAD. QRISK3 is known ...
Frontiers

An inter-laboratory study characterizes the impact of bioinformatic approaches on genome-based cluster detection for foodborne bacterial pathogens

In recent years, public health, food safety and veterinary laboratories transitioned to the application of whole-genome sequencing (WGS) for molecular surveillance in food-related outbreak ...
IEEE

Comparative Study of Machine Learning Algorithms for Student Retention, early warning and intervention systems for Institutions of Higher Learning

Abstract: The main purpose of this research work is to conduct a comparative study of application of machine learning algorithms in the development of a student retention model for undergraduate ...
Frontiers

A body composition-based clustering study and its association with metabolic phenotypes among the general population in China

1 Department of Endocrinology, Taikang Xianlin Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China 2 Department of Health Management Center, Taikang Xianlin ...