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Short Description
Heat diffusion as a service
Full Description


This project is deprecated in favor of the heat-diffusion project.

Please don't use this code unless you're sure of what you're doing.

Provides a daemon capable of servicing heat diffusion tasks on networks provided as CX or stored in NDEx. The service operates according to REST protocols. For details see the manuscript "Network propagation in the Cytoscape Cyberinfrastructure. Carlin DE et al. Submitted to PLoS Computational Biology."

The only route provided by this service is / the top level. Use this route to diffuse a vector of node heats against a network.

The service recieves input through the body of a POST request and optionally through the request's query string parameters. Read below for more information about the expected format of the body and the query string paramters that you can use to tweak the heat diffusion algorithm.

####Request Body

MIME type must be application/json

The body must be a CX document containing the network, and is encoded as JSON.

The heatvector can be encoded as node attributes within the network (as Doubles in the range 0..1) or as a query string parameter.
If it is encoded in the network, nodes having heat values must provide the value in "diffusion_input" node attribute. An alternate
node attribute name can be specified as a query string parameter.

###Query String Parameters
Query string parameters can be used to tweak the heat diffusion alogrithm.

Instead of specifying heat values as network node attributes, they can be provided in the heatvector query string parameter, which
is a base64 encoding of a Python list or dictionary. If the heatvector is specified, any heat values encoded in network attributes
are ignored.

If no heatvector is provided, heat values must be specified as network node attributes per the Request Body section
above. The attribute name must be "diffusion_input", but can be overridden by the heatattribute query parameter.

For example, you can create a heatvector in a query string value in Python like so:

import base64
import json

vector = {'node1': 0.2, 'node2': 0.4, 'node3': 0.6}
json_vector = json.dumps(vector)
encoded_vector = base64.b64encode(json_vector)
print 'The query string is ' + '?heatvector=' + encoded_vector
Key Type Default Value Description
subnetworkid Integer None A Cytoscape subnetwork to be extracted from a Collection
time Double 0.1 Parameter t from equation 1 of the manuscript to indicate the extent of spread over the network
kernel Boolean False Should the diffuser calculate an intermediate kernel
heatvector base64 dict '' Node heats encoded in the query string, overrides CX encoded heats
heatattribute String 'diffusion_input' The node attribute that contains the initial node heat as a Double
normalize Boolean False Should the Lappachian matrix be normalized

The heat diffusion service always responds with a json object containing two keys: data and error. If the service could complete your request, data will be a dictonary of node names with heat and rank objects as values. Here is a sample call below using curl:

curl -X POST -H "Content-Type: application/json" --data ""
  "data": {
    "64": {
      "heat": 1.0, 
      "rank": 0
  "errors": []

If the call was not successful, the error object will return a list of errors. Here is a sample bad call below using curl:

curl -X POST -H "Content-Type: application/json"
  "data": {}, 
  "errors": [
      "message": "400: Bad Request, did you send a CX body?"
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