matse.org.uk

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Accessing the public area [ log in. The Scottish Enterprise funded Microarray Time-series Explorer (MATSE) project (project reference number L/JR/POC/8-OET003) aims to deliver high quality interactive visualisation software for the analysis of microarray time-course data. The above screenshot previews some core MaTSE functionality in an early demonstrator. Our latest version of the software includes:. Links to R and the inclusion of clustering visualisations. Visualisation of predefined gene groupings.

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Accessing the public area [ log in. The Scottish Enterprise funded Microarray Time-series Explorer (MATSE) project (project reference number L/JR/POC/8-OET003) aims to deliver high quality interactive visualisation software for the analysis of microarray time-course data. The above screenshot previews some core MaTSE functionality in an early demonstrator. Our latest version of the software includes:. Links to R and the inclusion of clustering visualisations. Visualisation of predefined gene groupings.

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MATSE - Homepage | matse.org.uk Reviews

https://matse.org.uk

Accessing the public area [ log in. The Scottish Enterprise funded Microarray Time-series Explorer (MATSE) project (project reference number L/JR/POC/8-OET003) aims to deliver high quality interactive visualisation software for the analysis of microarray time-course data. The above screenshot previews some core MaTSE functionality in an early demonstrator. Our latest version of the software includes:. Links to R and the inclusion of clustering visualisations. Visualisation of predefined gene groupings.

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MATSE - Homepage

Accessing the public area [ log in. The Scottish Enterprise funded Microarray Time-series Explorer (MATSE) project (project reference number L/JR/POC/8-OET003) aims to deliver high quality interactive visualisation software for the analysis of microarray time-course data. The above screenshot previews some core MaTSE functionality in an early demonstrator. Our latest version of the software includes:. Links to R and the inclusion of clustering visualisations. Visualisation of predefined gene groupings.

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MATSE - Users and team members

http://www.matse.org.uk/content/page/people/op/person/peopleid/167

Accessing the public area [ log in. You are not logged in. You are logged in as #USERNAME#. If you do not have a username yet, you can register here. We are using cookies on the site to track your authenticated identity between pages to ensure the privacy of your data. By pressing the 'log in' button you are agreeing to the use of the cookies. This disclaimer is required to conform with current legislation. Find out how cookies work. Last Modified: 30/07/2009 14:16. Example dataset 5 (E-SMDB-14).

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MATSE - Dataset repository

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Accessing the public area [ log in. You are not logged in. You are logged in as #USERNAME#. If you do not have a username yet, you can register here. We are using cookies on the site to track your authenticated identity between pages to ensure the privacy of your data. By pressing the 'log in' button you are agreeing to the use of the cookies. This disclaimer is required to conform with current legislation. Find out how cookies work. Last Modified: 30/07/2009 14:16. Example dataset 5 (E-SMDB-14).

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MATSE - Dataset repository - patterns

http://www.matse.org.uk/content/page/patterns/op/pattern/patternid/26

Accessing the public area [ log in. You are not logged in. You are logged in as #USERNAME#. If you do not have a username yet, you can register here. We are using cookies on the site to track your authenticated identity between pages to ensure the privacy of your data. By pressing the 'log in' button you are agreeing to the use of the cookies. This disclaimer is required to conform with current legislation. Find out how cookies work. Last Modified: 30/07/2009 14:16. Example dataset 5 (E-SMDB-14).

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MATSE - Dataset repository - patterns

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Accessing the public area [ log in. You are not logged in. You are logged in as #USERNAME#. If you do not have a username yet, you can register here. We are using cookies on the site to track your authenticated identity between pages to ensure the privacy of your data. By pressing the 'log in' button you are agreeing to the use of the cookies. This disclaimer is required to conform with current legislation. Find out how cookies work. Last Modified: 30/07/2009 14:16. Example dataset 5 (E-SMDB-14).

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MATSE - Dataset repository

http://www.matse.org.uk/content/page/datasets/op/dataset/datasetid/516

Accessing the public area [ log in. You are not logged in. You are logged in as #USERNAME#. If you do not have a username yet, you can register here. We are using cookies on the site to track your authenticated identity between pages to ensure the privacy of your data. By pressing the 'log in' button you are agreeing to the use of the cookies. This disclaimer is required to conform with current legislation. Find out how cookies work. Last Modified: 30/07/2009 14:16. Example dataset 5 (E-SMDB-14).

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paulspapers.com

MaTSE: The Gene Expression Time-series Explorer | Interactive Systems Group

http://paulspapers.com/blog/2012/12/04/matse-the-gene-expression-time-series-explorer

Information Visualisation and Interaction Design Research. MaTSE: The Gene Expression Time-series Explorer. Posted on December 4, 2012, 3:36 am. Existing techniques are found to be ill suited to finding patterns of changing activity over a limited interval of an experiments time frame. The Time-Series Explorer (TSE) was developed to overcome this limitation by allowing users to explore their data by controlling an animated scatter-plot view. MaTSE. S1) ( Draft version). Craig, P., Cannon, A., Kuk...Craig...

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Accessing the public area [ log in. The Scottish Enterprise funded Microarray Time-series Explorer (MATSE) project (project reference number L/JR/POC/8-OET003) aims to deliver high quality interactive visualisation software for the analysis of microarray time-course data. The above screenshot previews some core MaTSE functionality in an early demonstrator. Our latest version of the software includes:. Links to R and the inclusion of clustering visualisations. Visualisation of predefined gene groupings.

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