New Results
DeepDiveR – A software for deep learning estimation of palaeodiversity from fossil occurrences
View ORCID ProfileRebecca B. Cooper, View ORCID ProfileBethany J. Allen, View ORCID ProfileDaniele Silvestro
doi: https://doi.org/10.1101/2024.09.03.610960
Rebecca B. Cooper
1Department of Biology, University of Fribourg and Swiss Institute of Bioinformatics, Fribourg, Switzerland
Bethany J. Allen
2Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland
3Computational Evolution Group, Swiss Institute of Bioinformatics, Lausanne, Switzerland
Daniele Silvestro
1Department of Biology, University of Fribourg and Swiss Institute of Bioinformatics, Fribourg, Switzerland
4Department of Biological and Environmental Sciences, University of Gothenburg and Gothenburg Global Biodiversity Centre, Gothenburg, Sweden
Posted September 06, 2024.
DeepDiveR – A software for deep learning estimation of palaeodiversity from fossil occurrences
Rebecca B. Cooper, Bethany J. Allen, Daniele Silvestro
bioRxiv 2024.09.03.610960; doi: https://doi.org/10.1101/2024.09.03.610960
Subject Area
Subject Areas
- Biochemistry (13393)
- Bioengineering (10202)
- Bioinformatics (32603)
- Biophysics (16793)
- Cancer Biology (13866)
- Cell Biology (19695)
- Clinical Trials (138)
- Developmental Biology (10643)
- Ecology (15755)
- Epidemiology (2067)
- Evolutionary Biology (20062)
- Genetics (13248)
- Genomics (18387)
- Immunology (13487)
- Microbiology (31583)
- Molecular Biology (13172)
- Neuroscience (68789)
- Paleontology (510)
- Pathology (2133)
- Pharmacology and Toxicology (3683)
- Physiology (5744)
- Plant Biology (11797)
- Synthetic Biology (3313)
- Systems Biology (8046)
- Zoology (1819)