Replication Data for: Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'Users should cite:Asgari E, Mofrad MRK. Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics. PLoS ONE 10(11): e0141287. doi:10.1371/journal.pone.0141287.This archive also contains the family classification data that we used in the above mentioned PLoS ONE paper. This data can be used as a benchmark for family classification task' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Deep Genomics","Deep Learning","Deep Proteomic","Disordered Protein Prediction","Distributed Representation","Family Classification Benchmark","Protein Data Visualization","t-SNE","Word2Vec"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Users should cite:Asgari E, Mofrad MRK. Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics. PLoS ONE 10(11): e0141287. doi:10.1371/journal.pone.0141287.This archive also contains the family classification data that we used in the above mentioned PLoS ONE paper. This data can be used as a benchmark for family classification task' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Users should cite:Asgari E, Mofrad MRK. Continuous Distributed Representation of Biological Sequences for Deep Proteomics and Genomics. PLoS ONE 10(11): e0141287. doi:10.1371/journal.pone.0141287.This archive also contains the family classification data that we used in the above mentioned PLoS ONE paper. This data can be used as a benchmark for family classification task
Deep Genomics; Deep Learning; Deep Proteomic; Disordered Protein Prediction; Distributed Representation; Family Classification Benchmark; Protein Data Visualization; t-SNE; Word2Vec