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Rights Holder and Contact
Dharma, Arjun; Dedhia, Rahil; Waldschmidt, Thomas B.
Description
Using deep learning transformer model BERT to study protein sequences and prediction tasks such as sub-cellular location, fluorescence, and secondary structure Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp) Tasks Assessing Protein Embeddings (TAPE) use license @ https://github.com/songlab-cal/tape/blob/master/LICENSE Dharma, Arjun; Dedhia, Rahil; Waldschmidt, Thomas B.; Rose, Peter (2020). Protein Embedding Analysis. In Data Science & Engineering Master of Advanced Study (DSE MAS) Capstone Projects. UC San Diego Library Digital Collections. https://doi.org/10.6075/J0KS6Q2H
Type
dataset
Identifier
ark:/20775/bb0892752c
Language
English
Subject
Neural networks (Computer science) Support Vector Machine (SVM) Jupyter Notebooks Protein analysis Natural Language Processing (NLP) SciKit Learn Tensorflow Pytorch Protein embedding XGBoost Data Science & Engineering Master of Advanced Study (DSE MAS) Language embedding Keras Machine learning Graphics Processing Unit (GPU) Logistic regression Bidirectional Encoder Representations from Transformers (BERT) Deep learning Transformers Task: Regression DSE MAS - 2020 Cohort
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