A search engine to identify pathway genes from expression data on multiple organisms

Prediction potential of candidate biomar

Prediction potential of candidate biomarker sets identified and validated on gene expression data from multiple datasets

✍ Michael Gormley; William Dampier; Adam Ertel; Bilge Karacali; Aydin Tozeren 📂 Article 📅 2007 🏛 BioMed Central 🌐 English ⚖ 752 KB

A Nonparametric Likelihood Ratio Test to

A Nonparametric Likelihood Ratio Test to Identify Differentially Expressed Genes from Microarray Data

✍ Sankar Bokka, Dr Sunil K. Mathur 📂 Article 📅 2006 🏛 Adis International Limited (now part of Wolters Kl 🌐 English ⚖ 187 KB

On identifying marker genes from gene ex

On identifying marker genes from gene expression data in a neural framework through online feature analysis

✍ Nikhil Ranjan Pal; Animesh Sharma; Somitra Kumar Sanadhya; Karmeshu 📂 Article 📅 2006 🏛 John Wiley and Sons 🌐 English ⚖ 281 KB

Many attempts have been made to analyze gene expression data. Typical goals of such analysis include discovery of subclasses, designing predictors/classifiers for diseases, identifying marker genes, and trying to get a deeper understanding of underlying biological process. Success of each of these t

Performing statistical analyses on quant

Performing statistical analyses on quantitative data in Taverna workflows: An example using R and maxdBrowse to identify differentially-expressed genes from microarray data

✍ Peter Li; Juan I Castrillo; Giles Velarde; Ingo Wassink; Stian Soiland-Reyes; St 📂 Article 📅 2008 🏛 BioMed Central 🌐 English ⚖ 850 KB

[ACM Press the third ACM international c

[ACM Press the third ACM international conference - New York, New York, USA (2010.02.04-2010.02.06)] Proceedings of the third ACM international conference on Web search and data mining - WSDM '10 - A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine

✍ Dupret, Georges; Liao, Ciya 📂 Article 📅 2010 🏛 ACM Press ⚖ 519 KB

[ACM Press the third ACM international c

[ACM Press the third ACM international conference - New York, New York, USA (2010.02.04-2010.02.06)] Proceedings of the third ACM international conference on Web search and data mining - WSDM '10 - A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine

✍ Dupret, Georges; Liao, Ciya 📂 Article 📅 2010 🏛 ACM Press ⚖ 519 KB

We propose a new model to interpret the clickthrough logs of a web search engine. This model is based on explicit assumptions on the user behavior. In particular, we draw conclusions on a document relevance by observing the user behavior after he examined the document and not based on whether a user