Kristoffer Chin: Week 12

Entry

Normalize Log Ratios

• The original data sheet did not contain the correct amount of names. We had too look at array express and the different excel sheets to find the correct names

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• After matching the names, the data from each of the different microarray subject was averaged using the excel formulas.
• The standard deviation was then found on the data as well
• New columns are then made with the same name of the subject along with scaled centered and is given data using the excel formulas

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Statistical Analysis of Ratios

• The LOG average was found between TC and AT. These 2 subjects were averaged out and a .txt and xls. was made for GenMAPP and to refer to.

GenMAPP txt file GenMAPP xls file

Sanity Check

• 1711 genes were found to be <.05
• 326 genes were found to be <.01
• 34 genes were found to be <.001
• 0 genes were found to be <.0001

• 549 genes that are greater than 0 in Log Avg
• 1162 genes that are less than 0 in the Log Avg
• 1162 genes that are greater that 0.25 or less than 0.25 in the Log Avg.

BIOL398-01: Bioinformatics Lab

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Kristoffer Chin: Week 2	Kristoffer Chin: Week 6	Kristoffer Chin: Week 11
Kristoffer Chin: Week 3	Kristoffer Chin: Week 7	Kristoffer Chin: Week 12
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Kristoffer Chin: Week 5	Kristoffer Chin: Week 9	Kristoffer Chin: Week 14

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BIOL398-01/S10:Class Journal Week 2	BIOL398-01/S10:Class Journal Week 6	BIOL398-01/S10:Class Journal Week 11
BIOL398-01/S10:Class Journal Week 3	BIOL398-01/S10:Class Journal Week 7	BIOL398-01/S10:Class Journal Week 12
BIOL398-01/S10:Class Journal Week 4	BIOL398-01/S10:Class Journal Week 8	BIOL398-01/S10:Class Journal Week 13
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BIOL398-01/S10:Week 4	BIOL398-01/S10:Week 8	BIOL398-01/S10:Week 13
BIOL398-01/S10:Week 5	BIOL398-01/S10:Week 9	BIOL398-01/S10:Week 14

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