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Edges

Value: 100

weights
weights

Node scaling
No scaling

Selection
No selection

by gene




by GO


by GWAS



Save
as png


nodes
borderWidth:
borderWidthSelected:
color
border:
background:
highlight
border:
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hover
border:
background:
opacity:
fixed
x:
y:
font
color:
size:
face:
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labelHighlightBold:
physics:
scaling
min:
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label:
shadow:
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shapeProperties
borderDashes:
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interpolation:
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size:
edges
arrows
to:
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from:
endPointOffset
from:
to:
arrowStrikethrough:
color
color:
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hover:
inherit:
opacity:
dashes:
font
color:
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face:
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align:
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hoverWidth:
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physics:
scaling
min:
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label
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enabled:
type:
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layout
hierarchical:
interaction
dragNodes:
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hideNodesOnDrag:
hover:
keyboard
enabled:
speed
x:
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bindToWindow:
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multiselect:
navigationButtons:
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hoverConnectedEdges:
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manipulation
enabled:
initiallyActive:
physics
enabled:
barnesHut
theta:
gravitationalConstant:
centralGravity:
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solver:
timestep:
wind
x:
y:
    Network information

    Network reference: ACH_001386

    Network type: Single sample

    Category: Cell lines

    Regulator: Transcription factor

    Cell name: SCLC22H_LUNG

    Donor sex: Male

    Disease: Lung Cancer

    Subtype: Small Cell Lung Cancer (SCLC)

    Full network information page
Edge weights table



Step 1:
Targeting scores
1. Genes

Value: 100


Gene selection
No selection

by gene


by GO


by GWAS


2. TFs/miRNA

Value: 100




Step 2:
Analysis
Analyze the submitted list of targeted genes/TFs for downstream analysis.

1. Enrichment analysis
Enrich TFs


2. Drug repurposing
By gene By TF



    Network information

    Network reference: ACH_001386

    Network type: Single sample

    Category: Cell lines

    Regulator: Transcription factor

    Cell name: SCLC22H_LUNG

    Donor sex: Male

    Disease: Lung Cancer

    Subtype: Small Cell Lung Cancer (SCLC)

    Full network information page
Gene Targeting score
TF Targeting score