chain.pyhasse.org

chain.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the programm. The module Chain allows a detailled analysis of the chains, when start-, endpoints and a minimum number of the so-called height are selected. For example the similarity among chains can be evaluated by the Tanimoto-similarity coefficient. More documentation can be found at:. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) .

http://chain.pyhasse.org/

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chain.pyhasse.org | chain.pyhasse.org Reviews

<META> DESCRIPTION

Load CSV data from file. Load CSV data from textfield. Aim of the programm. The module Chain allows a detailled analysis of the chains, when start-, endpoints and a minimum number of the so-called height are selected. For example the similarity among chains can be evaluated by the Tanimoto-similarity coefficient. More documentation can be found at:. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) .

<META> KEYWORDS

1 pyhasse chain

2 menue

3 about chain

4 license

5 pyhasse org

6 other modules

7 chain

8 copeland

9 fuzzy

10 lpom

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pyhasse chain,menue,about chain,license,pyhasse org,other modules,chain,copeland,fuzzy,lpom,spyout,sets,list of sets,general info,show,hasse diagram,matrix data,attributes,objects,data,calculations,zeta matrix,cover matrix,levels,equivalence classes,save

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chain.pyhasse.org | chain.pyhasse.org Reviews

https://chain.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the programm. The module Chain allows a detailled analysis of the chains, when start-, endpoints and a minimum number of the so-called height are selected. For example the similarity among chains can be evaluated by the Tanimoto-similarity coefficient. More documentation can be found at:. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) .

INTERNAL PAGES

chain.pyhasse.org

1

chain.pyhasse.org

http://chain.pyhasse.org/module/chain/statistics

Load CSV data from file. Load CSV data from textfield. Name of selected set:. Possible candidates for similarity search height ≥ 3.5 (average value).

2

chain.pyhasse.org

http://chain.pyhasse.org/loadcsvfield

Load CSV data from file. Load CSV data from textfield. Load data from field. Edit or copy and paste your values. Example q1 q2 q3 a 0 0 5 b 10 20 6 c 20 30 7 d 20 10 8 e 30 20 9 f 5 5 10 g 10 10 10.

3

chain.pyhasse.org

http://chain.pyhasse.org/module/chain/chain-selection

Load CSV data from file. Load CSV data from textfield. Name of selected set:. Similarity with chain selection. Possible candidates for similarity search height ≥ 3.5 (average value).

4

chain.pyhasse.org

http://chain.pyhasse.org/core/sensidist

Load CSV data from file. Load CSV data from textfield. Name of selected set:.

5

chain.pyhasse.org

http://chain.pyhasse.org/core/attr

Load CSV data from file. Load CSV data from textfield. Name of selected set:.

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fuzzy.pyhasse.org

http://fuzzy.pyhasse.org/loadcsvfield

Load CSV data from file. Load CSV data from textfield. Load data from field. Edit or copy and paste your values. Example q1 q2 q3 a 0 0 5 b 10 20 6 c 20 30 7 d 20 10 8 e 30 20 9 f 5 5 10 g 10 10 10.

spyout.pyhasse.org

http://spyout.pyhasse.org/core/equivalence

Load CSV data from file. Load CSV data from textfield. Name of selected set:. K = 0: There is no nontrivial equivalence class. K 0: Check the list below to detect the nontirivial equivalence classes.

copeland.pyhasse.org

http://copeland.pyhasse.org/core/levels

Load CSV data from file. Load CSV data from textfield. Name of selected set:.

copeland.pyhasse.org

http://copeland.pyhasse.org/core/zeta

Load CSV data from file. Load CSV data from textfield. Name of selected set:.

lpom.pyhasse.org

http://lpom.pyhasse.org/module/lpom/havext

Load CSV data from file. Load CSV data from textfield. Averaged height0 (repr. elements barchart). Averaged height extended (repr. elements barchart). Object's averaged height extended. Name of selected set:.

lpom.pyhasse.org

http://lpom.pyhasse.org/preferences

Load CSV data from file. Load CSV data from textfield. Averaged height0 (repr. elements barchart). Averaged height extended (repr. elements barchart). Object's averaged height extended. Configure properties, don't forget to save your changes! Selected node size (default node size n px). Preview sample Hasse diagram (HD). Color of nodes (selected). Color of nodes (unselected).

lpom.pyhasse.org

http://lpom.pyhasse.org/loadcsvfield

Load CSV data from file. Load CSV data from textfield. Averaged height0 (repr. elements barchart). Averaged height extended (repr. elements barchart). Object's averaged height extended. Load data from field. Edit or copy and paste your values. Example q1 q2 q3 a 0 0 5 b 10 20 6 c 20 30 7 d 20 10 8 e 30 20 9 f 5 5 10 g 10 10 10.

lpom.pyhasse.org

http://lpom.pyhasse.org/loadcsvfile

Load CSV data from file. Load CSV data from textfield. Averaged height0 (repr. elements barchart). Averaged height extended (repr. elements barchart). Object's averaged height extended. Load data from file.

lpom.pyhasse.org

http://lpom.pyhasse.org/diagram/editor

Load CSV data from file. Load CSV data from textfield. Averaged height0 (repr. elements barchart). Averaged height extended (repr. elements barchart). Object's averaged height extended. Name of selected set:.

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chain.pyhasse.org

Load CSV data from file. Load CSV data from textfield. Aim of the programm. The module Chain allows a detailled analysis of the chains, when start-, endpoints and a minimum number of the so-called height are selected. For example the similarity among chains can be evaluated by the Tanimoto-similarity coefficient. More documentation can be found at:. To run this module for a better insight. Have a look either at menubar(more options) or click the buttons here (a subset of the functionalitiy) .

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