nuget
Category 1: Functions for network construction
WeightedNetwork
01 Syntax
SMRUCC.genomics.Analysis.HTS.WGCNA.WeightedNetwork
02 Methods
| Name | Overloads | Summary |
|---|---|---|
| Adjacency | 1 | set the element which value less than threshold to zero |
| WeightedCorrelation | 1 | 得到权重关联网络A |
| Connectivity | 1 | 连通度K |
03 Members
Adjacency(
NumericMatrix, Double)set the element which value less than threshold to zero
Parameters
| Name | Type | Description |
|---|---|---|
cor | NumericMatrix | - |
threshold | Double | edge cutoff value |
WeightedCorrelation(
CorrelationMatrix, Double, Boolean)得到权重关联网络A
Remarks
- a trait-based node significance measure can be defined as the absolute value of the correlation between the i-th node profile x i and the sample trait
- alternatively, a correlation test p-value or a regression-based p-value for assessing the statistical significance between x i and the sample trait T can be used to define a p-value based node significance measure
Parameters
| Name | Type | Description |
|---|---|---|
cor | CorrelationMatrix |
|
betaPow | Double | 权重 |
Connectivity(
CorrelationMatrix, Double, Double, Boolean)连通度K
Remarks
连接度ki表示第 i 个基因和其他基因的α值加和
Parameters
| Name | Type | Description |
|---|---|---|
cor | CorrelationMatrix | A network is fully specified by its adjacency matrix aij, a symmetric n × n matrix With entries In [0, 1] whose component aij encodes the network connection strength between nodes i And j. |
betaPow | Double | - |