Difference between revisions of "Animations & Videos"

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== Introduction to the population approach ==  
 
== Introduction to the population approach ==  
  
The objective of this animation is to explain that such approach is relevant in many applications (biology, agronomy, toxicology, pharmacology,) and to show a little bit more in detail an application in PK modeling.
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The goal of this animation is to show that the population approach is relevant to many fields of application (biology, agronomy, toxicology, pharmacology, etc.) and to present a PK modeling application in a bit more detail.
  
 
{{ShowVideo_NoCaption|image=IntroductionPA.png|size=500px|video=http://team.inria.fr/popix/files/2012/01/Populations.swf}}
 
{{ShowVideo_NoCaption|image=IntroductionPA.png|size=500px|video=http://team.inria.fr/popix/files/2012/01/Populations.swf}}
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This animation describes how complex biological phenomena can be approximated by simplified models represented by mathematical equations.
 
This animation describes how complex biological phenomena can be approximated by simplified models represented by mathematical equations.
 
  
 
{{ShowVideo_NoCaption|image=IntroductionPK.png |size=500px|video=https://team.inria.fr/popix/files/2013/02/PKmodelling.swf }}
 
{{ShowVideo_NoCaption|image=IntroductionPK.png |size=500px|video=https://team.inria.fr/popix/files/2013/02/PKmodelling.swf }}
  
  
<br>
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Examples of PK modeling using $\mlxplore$ can be visualized [[Introduction_to_PK_modeling_using_MLXPlore_-_Part_I|here]].
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<br><br>
  
 
== The SAEM algorithm in practice ==
 
== The SAEM algorithm in practice ==
  
This video shows the behavior of the SAEM algorithm, that is largely decribed in [[The SAEM algorithm for estimating population parameters]] Section.  
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This video shows how the SAEM algorithm works, as described in [[The SAEM algorithm for estimating population parameters]] section.  
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{{ShowVideo_NoCaption|image=saem5b.png|size=500px|video=http://popix.lixoft.net/images/2/20/saem.mp4}}
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{{ShowVideo_NoCaption|image=saem5b.png|video=http://popix.lixoft.net/images/2/20/saem.mp4}}

Latest revision as of 13:44, 5 June 2013

Introduction to the population approach

The goal of this animation is to show that the population approach is relevant to many fields of application (biology, agronomy, toxicology, pharmacology, etc.) and to present a PK modeling application in a bit more detail.

IntroductionPA.png



Introduction to PK modeling

This animation describes how complex biological phenomena can be approximated by simplified models represented by mathematical equations.

IntroductionPK.png


Examples of PK modeling using $\mlxplore$ can be visualized here.

The SAEM algorithm in practice

This video shows how the SAEM algorithm works, as described in The SAEM algorithm for estimating population parameters section.


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