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LWA
2007
15 years 3 months ago
Parameter Learning for a Readability Checking Tool
This paper describes the application of machine learning methods to determine parameters for DeLite, a readability checking tool. DeLite pinpoints text segments that are difficul...
Tim vor der Brück, Johannes Leveling
BMCBI
2008
108views more  BMCBI 2008»
15 years 2 months ago
Empirical methods for controlling false positives and estimating confidence in ChIP-Seq peaks
Background: High throughput signature sequencing holds many promises, one of which is the ready identification of in vivo transcription factor binding sites, histone modifications...
David A. Nix, Samir J. Courdy, Kenneth M. Boucher
KDD
2002
ACM
183views Data Mining» more  KDD 2002»
16 years 2 months ago
E-CAST: A Data Mining Algorithm for Gene Expression Data
Data clustering methods have been proven to be a successful data mining technique in the analysis of gene expression data. The Cluster affinity search technique (CAST) developed b...
Abdelghani Bellaachia, David Portnoy, Yidong Chen,...
CPHYSICS
2007
89views more  CPHYSICS 2007»
15 years 2 months ago
Numerical differentiation of experimental data: local versus global methods
In the context of the analysis of measured data, one is often faced with the task to differentiate data numerically. Typically, this occurs when measured data are concerned or dat...
Karsten Ahnert, Markus Abel
BMCBI
2010
148views more  BMCBI 2010»
15 years 2 months ago
Applying unmixing to gene expression data for tumor phylogeny inference
Background: While in principle a seemingly infinite variety of combinations of mutations could result in tumor development, in practice it appears that most human cancers fall int...
Russell Schwartz, Stanley Shackney