Archive for the ‘Bioinformatics’ Category

Swarm, Particle! Swarm! Part 1

Saturday, April 30th, 2011

The particle swarm optimization algorithm can be an effective algorithm for solving difficult problems. Why use particle swarms to solve problems? How does it work?

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Biostatistics of cigarette smoking

Wednesday, December 16th, 2009

Stay away from smoking!  This is my analysis of the GSE5056 dataset from the Gene Expression Omnibus (GEO).  The dataset is part of a study aimed at understanding how cigarette smoking modifies neuroendocrine cells. By comparing the smokers to the non-smokers, it’s possible to see very clear trends using statistical methods despite the enormous amount of gene data.

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