[Upstream sync] inoue0426/awesome-computational-biology (github) — 17 added, 6 modified #67
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---
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title: "Canonical vocabulary for new AI4Bio enrichment metadata."
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task: ""
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lineage_type: import
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upstream_source: https://github.com/inoue0426/awesome-computational-biology/blob/7a064bf0/data/vocabulary.yml
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upstream_sha: 7a064bf0
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imported_at: 2026-08-08
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prompt_class: unknown
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upstream_changes: accepted
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author: upstream
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validated: false
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---
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# Canonical vocabulary for new AI4Bio enrichment metadata.
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#
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# These values are enforced only for fields explicitly added through
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# data/enrichment.yml. README-derived legacy values remain backward compatible.
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# Canonical terms use lowercase kebab-case.
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version: 1
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controlled_fields:
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entities:
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- cell
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- compound
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- disease
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- drug
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- gene
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- genome
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- molecule
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- organism
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- pathway
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- phenotype
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- protein
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- protein-complex
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- regulatory-element
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- tissue
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- transcript
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- variant
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methods:
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- autoencoder
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- contrastive-learning
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- convolutional-neural-network
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- diffusion
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- generative-model
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- geometric-deep-learning
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- graph-neural-network
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- knowledge-graph
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- language-model
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- message-passing-neural-network
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- multi-agent-system
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- optimal-transport
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- recurrent-neural-network
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- reinforcement-learning
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- retrieval-augmented-generation
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- self-supervised-learning
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- state-space-model
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- supervised-learning
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- transformer
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- unsupervised-learning
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- variational-autoencoder
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modalities:
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- cell-painting
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- chemical-structure
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- clinical
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- dna-sequence
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- electronic-health-record
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- epigenomics
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- genomics
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- histopathology
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- imaging
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- knowledge-graph
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- metabolomics
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- molecular-structure
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- multi-omics
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- protein-sequence
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- proteomics
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- rna-sequence
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- single-cell-rna-seq
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- spatial-transcriptomics
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- transcriptomics
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tasks:
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- batch-correction
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- cell-type-annotation
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- classification
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- dimensionality-reduction
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- docking
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- drug-response-prediction
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- drug-target-interaction
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- foundation-model-pretraining
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- gene-regulatory-network-inference
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- imputation
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- link-prediction
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- molecular-generation
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- perturbation-prediction
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- protein-function-prediction
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- protein-sequence-design
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- regression
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- representation-learning
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- structure-prediction
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- trajectory-inference
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- virtual-screening
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