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• Create a discrete alphabet
  revComp[1] = 2; //symbols[1]^rc = symbols[2] revComp[2] = 1; //symbols[2]^rc = symbols[1]
  899 bytes (101 words) - 09:50, 6 June 2011
• Training a classifier and classifying new sequences
  data[1] = new Sample( new DNASample( args[1] ), length );
  1 KB (160 words) - 18:40, 11 May 2011
• Downloads
  ...[http://www.oracle.com/technetwork/java/javase/downloads/index.html Java] 1.7 or later. {| border = "1" cellpadding = "5pt" cellspacing = "0" style = "border-color: #DDD; text-al
  8 KB (1,176 words) - 20:35, 8 September 2017
• Imprint
  Hausanschrift: von-Seckendorff-Platz 1, 06120 Halle, Germany<br />
  577 bytes (69 words) - 23:41, 13 October 2014
• Performing a 10-fold cross validation
  data[1] = new Sample( new DNASample( args[1] ), length ); 1,
  4 KB (454 words) - 09:51, 6 June 2011
• Intermediate course: Optimization
  return x[0]*x[0] + x[1]*x[1]; return new double[]{2.0*x[0], 2.0*x[1]};
  6 KB (748 words) - 16:24, 2 February 2012
• PCTLearn
  ...hopped into overlapping k-mers, where k to the desired maximal PCT depth + 1. The PCT is learned on these resulting k-mers with the convention that the <td>1</td>
  4 KB (612 words) - 18:00, 13 November 2018
• FAQs
  * '''Q₁: Why does the sampling create files in temporary directory of Java?'' * '''A₁:''' These files are created for saving the sampled parameter temporar
  11 KB (1,664 words) - 17:04, 2 February 2012
• Slim
  ...ion centered at the position specified by the position tag, valid range = [1.0, 10000.0], default = 75.0)</td> ...ing factor (The value for weighting the data; either a value between 0 and 1, or a description relative to the standard deviation (e.g. +4sd), default =
  12 KB (1,869 words) - 16:58, 2 July 2015
• FlowCap
  1. We build a classifier that returns the probability that a specific cell fr ...MSP) learning principle and a product normal prior with standard deviation 1;
  6 KB (952 words) - 10:59, 21 February 2013
• Dimont
  ...ion centered at the position specified by the position tag, valid range = [1.0, 10000.0], default = 75.0)</td> ...ing factor (The value for weighting the data; either a value between 0 and 1, or a description relative to the standard deviation (e.g. +4sd), default =
  14 KB (2,155 words) - 10:49, 17 January 2017
• Quick start: Jstacs in a nutshell
  ...rameterSet(con,10,(byte)10,1E-9,1E-10,1, false,KindOfParameter.PLUGIN,true,1);
  6 KB (816 words) - 09:49, 14 May 2012
• EpiTALE
  * [http://www.jstacs.de/downloads/EpiTALE-0.1.jar Runnable Jar]: requires Java >= 8 including JavaFX installed, may be r * [http://www.jstacs.de/downloads/EpiTALE-0.1.app.zip macOS app]: ZIP archive containing a macOS app including EpiTALE an
  22 KB (3,311 words) - 17:16, 12 May 2021
• Recipes
  revComp[1] = 2; //symbols[1]^rc = symbols[2] revComp[2] = 1; //symbols[2]^rc = symbols[1]
  37 KB (4,598 words) - 09:50, 14 May 2012
• Dispom
  * Dispom can be downloaded [http://www.jstacs.de/download.php?which=Dispom1.1 here]. <td>the sd of the a priori TFBS distribution, valid range = [1.0, Infinity], default = 150.0</td>
  13 KB (1,990 words) - 10:23, 6 February 2015
• Dessert: Alignments, Utils, and goodies
  ...gnment. In this example, we restrict to simple costs that are 0 for match, 1 for match, 0.5 for a gap. Costs costs = new SimpleCosts( 0, 1, 0.5 );
  10 KB (1,527 words) - 16:26, 2 February 2012
• PrediTALE
  ...determining the prediction threshold, valid range = [0.0, 0.01], default = 1.0E-4)</td> ...ted binding sites for determining the prediction threshold, valid range = [1, 1000000], default = 10000)</td>
  14 KB (2,128 words) - 11:45, 4 May 2019
• Workshop
  {| border = "1" cellpadding = "5pt" cellspacing = "0" style = "border-color: #DDD; text-al ...ww.jstacs.de/downloads/workshop/jstacs-1.5.pdf '''''New Features of Jstacs 1.5''''']
  6 KB (850 words) - 13:41, 31 May 2011
• MeDeMo
  * [http://www.jstacs.de/downloads/MeDeMo-1.0.jar command line interface] version and ...stacs.de/downloads/MeDeMoGUI-1.0.jar JAR file] (requires installed Java >= 1.8 and JavaFX)
  28 KB (4,321 words) - 23:55, 28 April 2020
• Second main course: Classifiers
  ...new GenDisMixClassifierParameterSet( alphabet, 10, (byte) 10, 1E-6, 1E-9, 1, false, KindOfParameter.PLUGIN, true, 2 ); ...rinciple. If we like to do so, we have to provide a weighting that sums to 1 and represents the weights for the conditional likelihood, the likelihood a
  17 KB (2,258 words) - 10:44, 3 February 2012

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