January 15, 2019 preprint Open access Comparing two deep learning sequence-based models for protein-protein interaction prediction arXiv (Cornell University) DOI: 10.48550/arxiv.1901.06268 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 2 stored of 24 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access A thorough analysis of the contribution of experimental, derived and sequence-based predicted protein-protein interactions for functional annotation of proteins 2020 PLoS ONE article Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access 4 citations Automatic Gene Function Prediction in the 2020’s 2020 Genes article Biochemistry, Genetics and Molecular Biology Bioinformatics and Genomic Networks Open access 38 citations 2 results References 0