Object[Analysis, Gating]

Filtering and/or grouping of multi dimensional data by algorithmic clustering or manual gating.

Organizational Information

Name

Name of this Object.

Format: Single

Class: String

Programmatic Pattern: _String

Pattern Description: A string.

ID

ID of this Object.

Format: Single

Class: String

Programmatic Pattern: _String

Pattern Description: The ID of this object.

Object

Object of this Object.

Format: Single

Class: Expression

Programmatic Pattern: Object[Analysis, Gating, _String]

Pattern Description: The object reference of this object.

Type

Type of this Object.

Format: Single

Class: Expression

Programmatic Pattern: Object[Analysis, Gating]

Pattern Description: Object[Analysis, Gating]

Notebook

Notebook this object belongs to.

Format: Single

Class: Link

Programmatic Pattern: _Link

Pattern Description: An object of that matches ObjectP[Object[LaboratoryNotebook]].

Relation: Object[LaboratoryNotebook][Objects]

Author

The person who ran the analysis.

Format: Single

Class: Link

Programmatic Pattern: _Link

Relation: Object[User]

General

UnresolvedOptions

The initial options entered into the analysis function that generated this object, along with the default values for any unspecified options.

Format: Single

Class: Compressed

Programmatic Pattern: {_Rule...}

ResolvedOptions

The final options used by the analysis function, after automatic options have been determined from the input and unresolved options.

Format: Single

Class: Compressed

Programmatic Pattern: {_Rule...}

Reference

The objects containing the source data used in this analysis.

Format: Multiple

Class: Link

Programmatic Pattern: _Link

ReferenceField

The field in the Reference object containing the source data.

Format: Single

Class: Expression

Programmatic Pattern: FieldP[Output -> Short]

Channels

The possible sensor recording channels for each datapoint that can be used for filtering and grouping analysis.

Format: Multiple

Class: Expression

Programmatic Pattern: GatingChannelsP | _Integer

Dimensions

The possible dimensions (e.g height, width) of each recording channel in the data that can be used for filtering and grouping analysis.

Format: Multiple

Class: Expression

Programmatic Pattern: GatingDimensionsP | _Integer

DimensionUnits

The Units of each dimension of the data.

Format: Multiple

Class: Expression

Programmatic Pattern: UnitsP[]

FilterGates

A list of definitions of the bounds for filtering the data, each in the form: {The channels of the data that were used for gating, the dimensions of the data that were used for gating, the polygon describing the gate, whether the interior of the polygon is included or excluded}.

Format: Multiple

Class: Expression

Programmatic Pattern: GateP

GroupGates

A list of definitions of the bounds for grouping the data, each defined as a list of Gates. Each Gate is in the form: {The channels of the data that were used for gating, the dimensions of the data that were used for gating, the polygon describing the gate, whether the interior of the polygon is included or excluded}.

Format: Multiple

Class: Expression

Programmatic Pattern: {GateP..}

ClusterChannels

The channels of the data that were used to generate the groupings by clustering.

Format: Multiple

Class: Expression

Programmatic Pattern: GatingChannelsP

ClusterDimensions

The dimensions of the data that were used to generate the groupings by clustering.

Format: Multiple

Class: Expression

Programmatic Pattern: GatingDimensionsP | _Integer

GroupLabels

The labels used to name groups.

Format: Multiple

Class: String

Programmatic Pattern: _String

DistanceFunction

The function used to determine distance between points in order to generate groups by clustering.

Format: Single

Class: Expression

Programmatic Pattern: DistanceFunctionP

ClusterMethod

The mathematical algorithm used to generate the groups via clustering in this analysis.

Format: Single

Class: Expression

Programmatic Pattern: Objects`Private`ClusterMethodP

NumberOfGroups

The total number of groups used by automatic clustering algorithm or manual grouping to generate groups.

Format: Single

Class: Integer

Programmatic Pattern: GreaterEqualP[0, 1]

Quadrant

The coordinate used to group the data by dividing it into quandrants.

Format: Single

[[1]] X Value

Header: X Value

Class: VariableUnit

Programmatic Pattern: UnitsP[RFU]|UnitsP[RFU Second]|UnitsP[Unit]

[[2]] Y Value

Header: Y Value

Class: VariableUnit

Programmatic Pattern: UnitsP[RFU]|UnitsP[RFU Second]|UnitsP[Unit]

Analysis & Reports

SelectedData

The data selected for analysis by the filtering gates.

Format: Single

Class: Compressed

Programmatic Pattern: {{_?NumericQ..}...}

ExcludedData

The data excluded for analysis by the filtering gates.

Format: Single

Class: Compressed

Programmatic Pattern: {{_?NumericQ..}...}

GroupData

The data grouped into a list of clusters determined by the clustering algorithm.

Format: Single

Class: Compressed

Programmatic Pattern: _Association

Last modified on Mon 26 Sep 2022 15:43:43