Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction
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Updated
Jul 8, 2021 - Python
Leveraging Heterogeneous Network Embedding for Metabolic Pathway Prediction
Pathway Tools multiprocessing wrapper (for PathoLogic).
Metabolic pathway inference using multi-label classification with rich pathway features
A pathologic file generator (PLFG) is implemented to assist and facilitate the curation progress of every computationally predicted pathway genome database (PGDB).
Finding paths of interest in networks
PAVER: Pathway Analysis Visualization with Embedding Representations
leADS: improved metabolic pathway inference based on active dataset subsampling
CHAP: Modeling Metabolic Pathways as Groups (with Augmentation)
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