
S3/ ├─ analysis/ │ ├─ stacks_weight/ 13 trained stack ensemble models predicting zoonotic status of avian influenza virus sequences, each holding out the named subtype ├─ data/ │ ├─ full/ │ │ ├─ mlready/ 12 * 8 rds data files containing each calculated genomic and proteomic feature set for each segment/gene/protein of avian influenza virus sequences
Machine Learning, Influenza, Human/virology, Machine learning, Genome, Viral, Supervised Machine Learning, Viral Zoonoses, Sequence Analysis, Influenza
Machine Learning, Influenza, Human/virology, Machine learning, Genome, Viral, Supervised Machine Learning, Viral Zoonoses, Sequence Analysis, Influenza
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
