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While these methods give an idea of transcript abundance or enrichment in a specific tissue, it has been demonstrated that the SAGE method is reproducible [ 46], provides an unbiased, quantitative report of gene expression, that may be correlated with microarray data [ 47, 48], and seems more efficient than EST-based methods for discovering novel genes and spliced variant transcripts [ 13].
We developed an algorithm called NetPathID (NETwork based method for PATHway IDentification) to discover pathways disrupted by copy number alterations across cancers.
In this paper, we present a supervised learning based method to discover the complexes in the PIN by learning from true complexes.
Höchsmann et al. [ 49] consider a local alignment based method to discover common local motifs from a pair of RNA sequences.
Most of the alignment based methods we discussed discover motifs based on both sequence and structure similarity.
In recent years, several data mining based methods have been designed for discovering interesting patterns in event logs.
However, without the aid of QM based methods, this effect would not have been discovered and its importance might have gone unappreciated for some time.
We have described a network-based integrative method for discovering disrupted pathways based on copy number alterations in human cancers.
As the next step in our analysis all the significantly changing genes were assigned to functional categories that were created based on EASE, the Expression Analysis Systematic Explorer that provides statistical methods for discovering biological themes within gene lists [ 17].
Unfortunately few effective analytical methods for discovering tensegrity geometries exist.
Law enforcement has many methods for discovering bad people who are intent on doing bad things.
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