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genomeNLP documentation

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genomeNLP documentation

Contents:

genomeNLP: Genome recoding for Machine Learning Usage incorporating genomicBERT
genomeNLP: Case study of deep learning
genomeNLP: Case study of DNA
genomeNLP: Case study of Protein
Create a token set from sequences
Create a dataset object from sequences
Create embeddings from a tokenised dataset
Perform a hyperparameter sweep
genomicBERT: Train a deep learning classifier
Perform cross-validation
Compare performance of different deep learning models
Generate synthetic sequences for use in classification
Get class attribution for deep learning models

v: latest

Versions: latest; stable; v2.7.2; v2.6.4; v2.5.0; v2.4.4; v2.3.1; v2.2.0; v2.1.4; v2.0.3

Downloads: pdf; epub

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Python Module Index


	u
	`utils`

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