EDITORIAL
Published on 17 Jul 2024
Editorial: Combining machine learning, computational modeling, and high throughput experimentation to accelerate discovery in systems microbiology
doi 10.3389/fmicb.2024.1451243
- 626 views
- Frontiers in Microbiology
- Systems Microbiology
- Research Topics
- Combining Machine Learning, Computational Modeling, and High Throughput Experimentation to Accelerate Discovery in Systems Microbiology
Combining Machine Learning, Computational Modeling, and High Throughput Experimentation to Accelerate Discovery in Systems Microbiology
2,156
Total downloads
9,443
Total views and downloads
Articles
ORIGINAL RESEARCH
Published on 12 Mar 2024
Super resolution-based methodology for self-supervised segmentation of microscopy images
doi 10.3389/fmicb.2024.1255850
- 967 views
- 1 citation
ORIGINAL RESEARCH
Published on 03 Jan 2024
The impact of transitive annotation on the training of taxonomic classifiers
doi 10.3389/fmicb.2023.1240957
- 1,061 views
- 1 citation
ORIGINAL RESEARCH
Published on 05 Jul 2023
EVMP: enhancing machine learning models for synthetic promoter strength prediction by Extended Vision Mutant Priority framework
doi 10.3389/fmicb.2023.1215609
- 1,759 views
- 8 citations
ORIGINAL RESEARCH
Published on 13 Feb 2023
Discrimination of psychrophilic enzymes using machine learning algorithms with amino acid composition descriptor
doi 10.3389/fmicb.2023.1130594
- 2,391 views
- 13 citations
