I have been corrupted. Now when I read journal articles I find myself investigating interesting statistics I have not seen before. Thanks a lot Mike. So, while reading a journal for my trends class I came across the Principal Component Analysis (yes, I just realized it is spelled principal, not the principle I would have expected. That is actually how it is spelled). For the article they were looking at the gene transcription activation that takes place after the introduction of various hallucinogenic and non-hallucinogenic drugs. They examined 19 different transcripts and were able to take this 19-dimension data and condense it down to a two-dimensional figure. How is this possible??? They used an orthogonal-linear transformation. Huh? What is that? Oh thank you Wikipedia (http://en.wikipedia.org/wiki/Principal_components_analysis). In sum, it looks like it involves attempting to weed out those values that have the least effect on the statistics. In th
e end they got the this lovely graph showing that there is a correlation between the increase in the expression of c-fos and egr-2 associated with the hallucinogenics (HCs) and not with the non-hallucinogenics (NHCs). I just found this really neat.
e end they got the this lovely graph showing that there is a correlation between the increase in the expression of c-fos and egr-2 associated with the hallucinogenics (HCs) and not with the non-hallucinogenics (NHCs). I just found this really neat.Image from: J. Gonzalez-Maeso, N.V. Weisstaub, M. Zhou, P. Chan, L. Ivic and R. Ang et al., Hallucinogens recruit specific cortical 5-HT(2A) receptor-mediated signaling pathways to affect behavior, Neuron 53 (3) (2007), pp. 439–452.
1 comment:
not commenting on your most recent post, but thanks for the advice about navigating to different blogs. i can't believe i didn't think of right clicking!
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