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Comparative text statistics

Created: 2012-01-11 13:46:17 | Last updated: 2012-01-11 16:00:03

4 items in this pack

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Demo of statistics webservice invoked from... (1)

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Created: 2009-03-29

Credits: David De Roure

G-language Genome Analysis Environment - B... (2)

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Given a numerical vector (array), this workflow calculates the maximum value (max) and its index (maxdex), minumum value (min) and its index (mindex), mean, sum, median, and standard deviation. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05

Credits: cory (Kazuki Oshita)

G-language Genome Analysis Environment - S... (2)

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This workflow calculates the Student's T-test and Pearson/Spearman correlations. See http://www.g-language.org/ for more information about the G-language Genome Analysis Environment.

Created: 2010-04-05

Credits: cory (Kazuki Oshita)

Optimal Paths Filter (1)

This workflow filters a given Ondex graph based on the optimal path between one or more concepts. The result is a new Ondex graph. The parameters that can be used with service are as follows: graphId - the ID of the input Graph. outputGraphId - the ID of the output Graph. Optional parameter. If no output graph is specified filtered items will be removed from the input graph. PathwayDefinition - pathway definition file. StatisticsOutputDir - The directory to output statistics (Optional). Incl...

Created: 2009-08-19

Credits: Paul Fisher

Performing a double sided T-test on Brunn ... (1)

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Created: 2010-09-13 | Last updated: 2010-09-13

Credits: jonalv

Mouse Brain Image Analysis: General Linear... (1)

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Overview - General Linear Model The workflow runs voxelwise statistics on two populations of mice. Each of the populations has been scanned prior to injection of a label and at four subsequent timepoints.   Problem addressed by this workflow The workflow addresses several problems. First of all, it performs co-registration between the subjects from the two populations and at different timepoints. It then scales all images. Finally, it runs a multiple linear regression module t...

Created: 2011-04-06 | Last updated: 2011-04-06

Credits: Pipeline

r.stats workflow for pixel statistics (1)

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r.stats operation for image. Output will group pixels by: DN, total area, relative %. This worflow is used inside the ice Class exampel as a nested workflow

Created: 2011-11-02 | Last updated: 2011-11-02

Credits: Jorgejesus

Renaissance texts parameters (1)

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Calculation of some basic parameters of renaissance texts written in different languages. Parameters: type count, token count, type token ratio, wordlength, entropy, conditional entropy, coincidence values, random walk values, repeated words and minimal pairs. Texts (from project Guttenberg, referenced in http://www.myexperiment.org/files/660.html): Dee (en), dante (it), descartes (lat), ceasar (anc lat), paracelsus (ger), melanchton (ger)

Created: 2012-01-11 | Last updated: 2012-01-11

Credits: jhermes

Polygraphia III encription text parameters (1)

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Calculation of some basic parameters of a text, enciphered with the method that the german ape Johannes Trithemius described in his book Polygraphia III Parameters: type count, token count, type token ratio, wordlength, entropy, conditional entropy, coincidence values, random walk values, repeated words and minimal pairs. Enciphed text (from project Guttenberg, referenced in http://www.myexperiment.org/files/660.html): Melanchton: Confessions (ger)

Created: 2012-01-11 | Last updated: 2012-01-11

Credits: jhermes

VM text parameters (1)

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Calculation of some basic parameters of the text from the Voynich Manuskript (VMS). Parameters: type count, token count, type token ratio, wordlength, entropy, conditional entropy, coincidence values, random walk values, repeated words and minimal pairs. The VMS text (EVA Interlinear Archive File) is referenced in http://www.myexperiment.org/files/660.html)

Created: 2012-01-11

Credits: jhermes

Monthly counts for feature occurences betw... (1)

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This workflow provides monthly counts of features in HFC between the beginning of year_start and the end of year_end. Returns the result as comma separated file (csv) and as list of lists.

Created: 2012-08-22

Credits: Anja Le Blanc

Attributions: Number of recorded features in catalogue per month Split VOTable into its values

Monthly counts for event occurences betwee... (1)

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This workflow provides monthly counts of events in HEC between the beginning of year_start and the end of year_end. Returns the result as comma separated file (csv) and as list of lists.

Created: 2012-08-23

Credits: Anja Le Blanc

Attributions: Counts number of events per month in HEC table Split VOTable into its values

Sort 1000 fastest CMEs from a given list a... (1)

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The fastest 1000 CME of the input list are bined in categories by factor of 10 according to their pa_width value. List must contain fields v and pa_width. Output VOTable with the counts in the categories.

Created: 2012-08-30 | Last updated: 2012-08-30

Credits: Anja Le Blanc

Microbial Metagenomic Trait Statistical An... (9)

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This workflow retrieves the following microbial metagenomic traits from the Microbial Metagenomic Trait Database: -GC content -Variance of GC content -Dinucleotides -Number of rRNA -Codon usage -Amino acid composition -Acidic to basic amino acids ratio -% of Transcriptional factors -% of classified reads -Functional content -Functional diversity -Taxonomic content -Taxonomic diversity After the retrieval performs the ecological analyses described in Barberan et al. 2012 (http://dx.doi.or...

Created: 2012-12-19 | Last updated: 2014-11-12

Credits: Antonio Fernandez-Guerra Renzo Peliny BioVeL

Match concept profiles with predefined set (2)

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Purpose of workflow: The workflow can be used to match a set of concept profiles with predefined set of concept profiles. Result: A list of concepts ordered by their match to the query concept profiles.

Created: 2013-02-05 | Last updated: 2014-07-14

Credits: Kristina Hettne Marco Roos Reinout van Schouwen BioSemantics