GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
IEEE

Integrating Deep Learning and SHAP for Breast Cancer Classification and Biomarker Discovery Using Gene Expression Data

Abstract: This study explores the application of deep learning models combined with SHAP (SHapley Additive exPlanations) for breast cancer classification using gene expression data. Our model ...
GitHub

litestar-org/fast-query-parsers

This library includes ultra-fast Rust based query string and urlencoded parsers. These parsers are used by Litestar, but are developed separately - and can of course be used separately. The first ...
IEEE

Error Identification and Compensation of a Dual-Robot Measuring and Machining System With an Integrated Visual Sensor

Abstract: To address the growing demand for intelligent manufacturing in personalized, large-scale, and multivariety production, multirobot systems have demonstrated significant potential, as they can ...