Dataset and Code for PIDE Binary Classification Model
Chen, Yuanyuan;
Dataset and Code for PIDE Binary Classification Model
phage.fasta: 263,843 phage protein sequences (from UniProt). bacteria.fasta: 263,843 bacterial protein sequences (from UniProt). sequence_*.txt: Embedding files for train/val/test sets (precomputed from input sequences). label_*.txt: Corresponding binary labels (0: bacteria, 1: phage). *.py files: Training and evaluation scripts (input: embedding files).
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
selected citations
Citations provided by BIP!
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
Average
Average
Average