CARD is the most widely-used ARG identification database. We reveal some problematic cases where possible false classifications may occur and methods to solve the problem are proposed. Our paper "Deep Analysis and Optimization of CARD Antibiotic Resistance Gene Discovery Models" will be presented on GIW2019.
The repository contains the full powerpoint and the code used in our paper. The code and more instructions for using the code will be continuously updated. We look forward to producing a functional plug-in to the CARD database. We sincerely appreciate if you can follow the progress of this project.

Contact:
Yao Haobin, PhD in computer science, currently Research Assistant in Biomedical Sciences, would-be postdoc, University of Hong Kong.

h1181164@hku.hk

Project Activity

See All Activity >

Follow hbyao-GIW2019

hbyao-GIW2019 Web Site

Other Useful Business Software
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of hbyao-GIW2019!

Additional Project Details

Registered

2019-12-07