Slot: cells
What this contrast compared: one entry per level of a model term that entered it, each with the side it sat on. The only place direction lives.
Every cell names its term, so the axis of a comparison is explicit. Two cells naming one term compare levels within that factor; cells naming different terms compare across them. A condition contrast, a cohort comparison, a pre-post change, a crossover comparison of arms and a region-by-condition dissociation all take this one form, and what distinguishes them is what the named term's levels range over, which FactorLevel states on the model.
Required and non-empty. A one-sample test is one signed cell: a lone positive cell tests that coefficient against zero, which is what the unmodelled implicit baseline is, and the sign distinguishes activation from deactivation. A map with no inferential test at all is not an Analysis.
URI: neurostudy:cells
Applicable Classes
| Name |
Description |
Modifies Slot |
| Effect |
The inferential quantity tested about a map: what was compared, whether the c... |
no |
Properties
Type and Range
| Property |
Value |
| Range |
Cell |
| Domain Of |
Effect |
| ### Cardinality and Requirements |
|
| Property |
Value |
| Required |
Yes |
| Multivalued |
Yes |
Slot Characteristics
In Subsets
Schema Source
- from schema: https://neurostuff.org/schemas/neuroimaging-study-storage
Mappings
| Mapping Type |
Mapped Value |
| self |
neurostudy:cells |
| native |
neurostudy:cells |
LinkML Source
name: cells
description: 'What this contrast compared: one entry per level of a model term that
entered it, each with the side it sat on. The only place direction lives.
Every cell names its term, so the axis of a comparison is explicit. Two cells naming
one term compare levels within that factor; cells naming different terms compare
across them. A condition contrast, a cohort comparison, a pre-post change, a crossover
comparison of arms and a region-by-condition dissociation all take this one form,
and what distinguishes them is what the named term''s levels range over, which `FactorLevel`
states on the model.
Required and non-empty. A one-sample test is one signed cell: a lone `positive`
cell tests that coefficient against zero, which is what the unmodelled implicit
baseline is, and the sign distinguishes activation from deactivation. A map with
no inferential test at all is not an Analysis.'
in_subset:
- mvp
- model_extracted
from_schema: https://neurostuff.org/schemas/neuroimaging-study-storage
rank: 1000
owner: Effect
domain_of:
- Effect
range: Cell
required: true
multivalued: true
inlined: true
inlined_as_list: true