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 ...
Frontiers

A dynamic multitask evolutionary algorithm for high-dimensional feature selection based on multi-indicator task construction and elite competition learning

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...
Scientific Research Publishing

A Lightweight Interpretable Machine Learning Framework for Parkinson Disease Detection with Feature Selection Technique ()

1 Department of Computer Science and Engineering, The People’s University of Bangladesh, Dhaka, Bangladesh. 2 Department of Computer Science and Engineering, Jahangirnagar University, Dhaka, ...
C&EN

Polymer Solubility Prediction Using Large Language Models

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Traditional approaches in polymer informatics often require labor-intensive data ...
Scientific Research Publishing

Advancing Material Stability Prediction: Leveraging Machine Learning and High-Dimensional Data for Improved Accuracy ()

Predicting the material stability is essential for accelerating the discovery of advanced materials in renewable energy, aerospace, and catalysis. Traditional approaches, such as Density Functional ...
IEEE

Scalable Feature Subset Selection With Fuzzy Rough Sets and Fuzzy Min–Max Neural Network in Hybrid Decision System

Abstract: Selecting a compact and relevant feature subset for hybrid decision systems is a key task in decision-making. Fuzzy rough set (FRS) is an effective method for this purpose, but its space ...
Frontiers

Predictive Feature Generation and Selection Using Process Data From PISA Interactive Problem-Solving Items: An Application of Random Forests

The Programme for International Student Assessment (PISA) introduced the measurement of problem-solving skills in the 2012 cycle. The items in this new domain employ scenario-based environments in ...