Updated: Feb 2, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
Published on: September 25, 2021
Adrienne Grech1, Maria Cassar2
1Mater Dei Hospital, Msida, Malta.
Virtual Work
Avoidance Learning and Learned Helplessness
Principle of Virtual Work: Problem Solving
Gene-Environment Interactions
Associative Learning
Purposive Learning
You might also read
Articles linked to this work by shared authors, journal, and citation graph.
Virtual learning environments (VLEs) offer a cost-effective and flexible method for qualitative data collection in higher education. Nurse education research can benefit from these digital tools, expanding their utility beyond traditional teaching functions.
Area of Science:
Background:
Purpose of the Study:
Main Methods:
Main Results:
Conclusions: