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what_can_do_hipathia_for_you [2020/02/03 13:33] – krianwhat_can_do_hipathia_for_you [2021/01/05 15:49] (current) – [Differential signaling] krian
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 In order to calculate the circuit signal, once the node activity values have been estimated, we assume an incoming signal value of 1 in the input nodes (stimuli-receptor proteins) of any circuit. Then, the signal is propagated to the following nodes as shown in the image above until it reaches its effector node. This is going to be the values that will be taken as the activation value for each "effector circuit". In order to calculate the circuit signal, once the node activity values have been estimated, we assume an incoming signal value of 1 in the input nodes (stimuli-receptor proteins) of any circuit. Then, the signal is propagated to the following nodes as shown in the image above until it reaches its effector node. This is going to be the values that will be taken as the activation value for each "effector circuit".
  {{ ::path_mechanism.png?nolink |}}  {{ ::path_mechanism.png?nolink |}}
-In the  +Finally, Hipathia also calculates the activation state of some molecular functions by looking at the functions annotated for the effector proteins in which the "effector circuit" finishes. With Hipathia's method it is possible to obtain an individual activation value of the different functions for each. Therefore it's also possible to infer which functions have different activation levels in the groups that are being compared. This feature is implemented for the annotations of the Uniprot database and Gene Ontology. 
-Finally, Hipathia also calculates the activation state of some molecular functions by looking at the functions annotated for the effector proteins in which the "effector circuit" finishes. With Hipathia's method it is possible to obtain an individual activation value of the different functions for each. Therefore it's also possible to infer which functions has different activation levels in the groups that are being compared. This feature is implemented for the annotations of the Uniprot database and Gene Ontology.  +
-This video present a simple simulation of how Hipathia model calculate the propagated signal throw a signaling circuit:+
  
-{{ ::demoalgo.mp4 |}}+This video present a simple simulation of how Hipathia model calculates the propagated signal throw a signaling circuit: 
 +{{ ::demoalgo.gif?nolink |}} 
 + 
 +===== HiPathia modules =====
  
 The HiPathia web server integrates four different pathway analysis modules: The HiPathia web server integrates four different pathway analysis modules:
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 {{ ::hipathiatools.png |http://hipathia.babelomics.org}}   {{ ::hipathiatools.png |http://hipathia.babelomics.org}}  
  
-===== Differential signaling =====+==== Differential signaling ====
  
 This module provides an estimation of the significant cell signaling activity changes across different conditions. To achieve so, signal value activities are estimated for each signaling circuit for the studied samples. Then, these signaling activity profiles can be **compared** according to the experimental design of the used dataset: This module provides an estimation of the significant cell signaling activity changes across different conditions. To achieve so, signal value activities are estimated for each signaling circuit for the studied samples. Then, these signaling activity profiles can be **compared** according to the experimental design of the used dataset:
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 See the [[differential_signaling|Differential signaling]] tool. See the [[differential_signaling|Differential signaling]] tool.
-===== Prediction =====+==== Prediction ====
  
 HiPathia allows you to train, download and test a prediction model for your dataset. The machine learning module can be trained either to: HiPathia allows you to train, download and test a prediction model for your dataset. The machine learning module can be trained either to:
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 In order to check how to use these tool please see [[Prediction|Prediction]]. In order to check how to use these tool please see [[Prediction|Prediction]].
  
-===== Perturbation effect =====+==== Perturbation effect ====
  
 This module offers an interactive working environment to simulate the effect of different interventions (e.g. knock-out, over-expression, etc.) over the activity of signaling circuits in the pathways, as well as their potential functional consequences in the cell. Given a specific condition, corresponding to a specific gene expression profile, knock-outs, knock-downs or different types of inhibitions are simulated by reducing or setting to 0 the expression level of the gene or interest.  This module offers an interactive working environment to simulate the effect of different interventions (e.g. knock-out, over-expression, etc.) over the activity of signaling circuits in the pathways, as well as their potential functional consequences in the cell. Given a specific condition, corresponding to a specific gene expression profile, knock-outs, knock-downs or different types of inhibitions are simulated by reducing or setting to 0 the expression level of the gene or interest. 
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 See more about the [[Perturbation effect|Perturbation effect]] tool. See more about the [[Perturbation effect|Perturbation effect]] tool.
  
-===== Variant interpreter =====+==== Variant interpreter ====
  
 This tool provides an estimation of the potential impact of genomic variation over cell signaling and consequently on cell functionality.  This tool provides an estimation of the potential impact of genomic variation over cell signaling and consequently on cell functionality. 
what_can_do_hipathia_for_you.1580736796.txt.gz · Last modified: 2020/02/03 13:33 by krian