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Class: MLModel

Machine Learning and AI-based models for prediction, mechanism inference, and hypothesis generation.

URI: namo:MLModel

classDiagram class MLModel click MLModel href "../MLModel/" InSilicoModel <|-- MLModel click InSilicoModel href "../InSilicoModel/" MLModel : biological_organization_level MLModel --> "0..1" BiologicalOrganizationLevelEnum : biological_organization_level click BiologicalOrganizationLevelEnum href "../BiologicalOrganizationLevelEnum/" MLModel : complexity_level MLModel --> "0..1" ComplexityLevelEnum : complexity_level click ComplexityLevelEnum href "../ComplexityLevelEnum/" MLModel : computational_method MLModel : cross_validation MLModel --> "0..1" CrossValidation : cross_validation click CrossValidation href "../CrossValidation/" MLModel : description MLModel : feature_types MLModel --> "*" FeatureTypeEnum : feature_types click FeatureTypeEnum href "../FeatureTypeEnum/" MLModel : id MLModel : ml_algorithm MLModel --> "0..1" MLAlgorithmEnum : ml_algorithm click MLAlgorithmEnum href "../MLAlgorithmEnum/" MLModel : model_interpretability MLModel --> "0..1" InterpretabilityLevelEnum : model_interpretability click InterpretabilityLevelEnum href "../InterpretabilityLevelEnum/" MLModel : models MLModel --> "*" ModelsRelationship : models click ModelsRelationship href "../ModelsRelationship/" MLModel : name MLModel : prediction_scope MLModel : references MLModel --> "*" Reference : references click Reference href "../Reference/" MLModel : software_platform MLModel : spatial_context MLModel : training_data_size MLModel : type MLModel : validation_datasets

Inheritance

Slots

Name Cardinality and Range Description Inheritance
ml_algorithm 0..1
MLAlgorithmEnum		 Type of machine learning algorithm used direct
feature_types *
FeatureTypeEnum		 Types of features used (molecular, phenotypic, imaging, etc direct
training_data_size 0..1
Integer		 Size of training dataset direct
model_interpretability 0..1
InterpretabilityLevelEnum		 Level of model interpretability (black box, interpretable, explainable) direct
cross_validation 0..1
CrossValidation		 Cross-validation strategy and results direct
computational_method 0..1
String		 Primary computational method or algorithm used InSilicoModel
software_platform 0..1
String		 Software platform or programming language used InSilicoModel
validation_datasets *
String		 Datasets used for model training and validation InSilicoModel
prediction_scope 0..1
String		 Scope and limitations of model predictions InSilicoModel
biological_organization_level 0..1
BiologicalOrganizationLevelEnum		 The level of biological organization represented by the model NAMModel
spatial_context 0..1
String		 Description of spatial organization and context captured by the model NAMModel
complexity_level 0..1
ComplexityLevelEnum		 Level of biological complexity represented (subcellular, cellular, tissue, or... NAMModel
references *
Reference		 Literature references that describe, validate, or support this model NAMModel
models *
ModelsRelationship		 ModelSystem
id 1
Uriorcurie		 A unique identifier for a thing NamedThing
name 0..1
String		 A human-readable name for a thing NamedThing
description 0..1
String		 A human-readable description for a thing NamedThing
type 0..1
String		 NamedThing

Identifier and Mapping Information

Schema Source

  • from schema: https://w3id.org/monarch-initiative/namo

Mappings

Mapping Type Mapped Value
self namo:MLModel
native namo:MLModel

LinkML Source

Direct

name: MLModel
description: Machine Learning and AI-based models for prediction, mechanism inference,
  and hypothesis generation.
from_schema: https://w3id.org/monarch-initiative/namo
is_a: InSilicoModel
attributes:
  ml_algorithm:
    name: ml_algorithm
    description: Type of machine learning algorithm used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: MLAlgorithmEnum
  feature_types:
    name: feature_types
    description: Types of features used (molecular, phenotypic, imaging, etc.)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: FeatureTypeEnum
    multivalued: true
  training_data_size:
    name: training_data_size
    description: Size of training dataset
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: integer
  model_interpretability:
    name: model_interpretability
    description: Level of model interpretability (black box, interpretable, explainable)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: InterpretabilityLevelEnum
  cross_validation:
    name: cross_validation
    description: Cross-validation strategy and results
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    domain_of:
    - MLModel
    range: CrossValidation
    inlined: true

Induced

name: MLModel
description: Machine Learning and AI-based models for prediction, mechanism inference,
  and hypothesis generation.
from_schema: https://w3id.org/monarch-initiative/namo
is_a: InSilicoModel
attributes:
  ml_algorithm:
    name: ml_algorithm
    description: Type of machine learning algorithm used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: ml_algorithm
    owner: MLModel
    domain_of:
    - MLModel
    range: MLAlgorithmEnum
  feature_types:
    name: feature_types
    description: Types of features used (molecular, phenotypic, imaging, etc.)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: feature_types
    owner: MLModel
    domain_of:
    - MLModel
    range: FeatureTypeEnum
    multivalued: true
  training_data_size:
    name: training_data_size
    description: Size of training dataset
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: training_data_size
    owner: MLModel
    domain_of:
    - MLModel
    range: integer
  model_interpretability:
    name: model_interpretability
    description: Level of model interpretability (black box, interpretable, explainable)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: model_interpretability
    owner: MLModel
    domain_of:
    - MLModel
    range: InterpretabilityLevelEnum
  cross_validation:
    name: cross_validation
    description: Cross-validation strategy and results
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: cross_validation
    owner: MLModel
    domain_of:
    - MLModel
    range: CrossValidation
    inlined: true
  computational_method:
    name: computational_method
    description: Primary computational method or algorithm used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: computational_method
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
  software_platform:
    name: software_platform
    description: Software platform or programming language used
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: software_platform
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
  validation_datasets:
    name: validation_datasets
    description: Datasets used for model training and validation
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: validation_datasets
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
    multivalued: true
  prediction_scope:
    name: prediction_scope
    description: Scope and limitations of model predictions
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: prediction_scope
    owner: MLModel
    domain_of:
    - InSilicoModel
    range: string
  biological_organization_level:
    name: biological_organization_level
    description: The level of biological organization represented by the model
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: biological_organization_level
    owner: MLModel
    domain_of:
    - NAMModel
    range: BiologicalOrganizationLevelEnum
  spatial_context:
    name: spatial_context
    description: Description of spatial organization and context captured by the model
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: spatial_context
    owner: MLModel
    domain_of:
    - NAMModel
    range: string
  complexity_level:
    name: complexity_level
    description: Level of biological complexity represented (subcellular, cellular,
      tissue, organ, system)
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: complexity_level
    owner: MLModel
    domain_of:
    - NAMModel
    range: ComplexityLevelEnum
  references:
    name: references
    description: Literature references that describe, validate, or support this model
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: references
    owner: MLModel
    domain_of:
    - NAMModel
    range: Reference
    multivalued: true
    inlined: true
    inlined_as_list: true
  models:
    name: models
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    alias: models
    owner: MLModel
    domain_of:
    - ModelSystem
    range: ModelsRelationship
    multivalued: true
  id:
    name: id
    description: A unique identifier for a thing
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    slot_uri: schema:identifier
    identifier: true
    alias: id
    owner: MLModel
    domain_of:
    - NamedThing
    - Reference
    range: uriorcurie
    required: true
  name:
    name: name
    description: A human-readable name for a thing
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    slot_uri: schema:name
    alias: name
    owner: MLModel
    domain_of:
    - NamedThing
    range: string
  description:
    name: description
    description: A human-readable description for a thing
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    slot_uri: schema:description
    alias: description
    owner: MLModel
    domain_of:
    - NamedThing
    range: string
  type:
    name: type
    from_schema: https://w3id.org/monarch-initiative/namo
    rank: 1000
    designates_type: true
    alias: type
    owner: MLModel
    domain_of:
    - NamedThing
    range: string