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Add all peptides’ ratio up/peptide number

Add all peptides’ ratio up/peptide number. Mean & SD calculation. Peptide ratio 相加，需要扣掉已經排除的. 針對每一個蛋白進行一次計算. 針對所有胜肽的 ratio 進行一次計算. 照你算的為主，之前可能有些錯誤. 第一階段 ：第一種情況 每一個 protein mean +SD 與 1+peptide SD 比. 第一階段 ：第二種情況 每一個 protein mean +SD 與 all peptides’ mean+peptide SD 比.

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Add all peptides’ ratio up/peptide number

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  1. Add all peptides’ ratio up/peptide number Mean & SD calculation Peptide ratio相加，需要扣掉已經排除的

  2. 針對每一個蛋白進行一次計算 針對所有胜肽的ratio進行一次計算 照你算的為主，之前可能有些錯誤

  3. 第一階段：第一種情況每一個protein mean +SD與1+peptide SD比 第一階段：第二種情況每一個protein mean +SD與all peptides’ mean+peptide SD比 第一階段：目的是要找出沒有變化的protein，作為control candidate，目前 看來跟1比的結果比較適合進行下一階段，我會先挑一個control protein進到第二階段。 Control protein candidate挑選：目前以n=3以上的為主，會比較正確，也就是一個 protein要有3條peptide，才能夠被選進作為control protein candidate，信心度先設定為 95%，因為98%以上，門檻值過高，找到的機會很小。

  4. 第一階段：第一種情況每一個protein mean +SD與1+peptide SD比 AQ2-1代表跟1比 Spooled=((AV2*(AR2-1)+BA2*(AY2-1))/(AR2+AY2-2))^(1/2) tcal=(AQ2-1)/BC2*((AR2*AY2)/(AR2+AY2))^(1/2) Degree of freedom=((AW2+BB2)^2)/(((AW2)^2)/(AR2+1)+((BB2)^2)/(AY2+1))-2 根據peptide數目，例如第一個蛋白有17個peptide， 再定義信心度範圍(例如99.8%, 2-sided) ，再以內插法計算出 tcritical=3.6606

  5. 第一階段：第二種情況每一個protein mean +SD與all peptides’ mean+peptide SD比 AQ2-1代表跟all peptides’ mean比

  6. Spooled

  7. Every protein mean & SD and all peptides’mean & SD (Every protein mean & SD v.s all peptides’ mean & SD) → tcal & degrees of freedom → non-significant hits for protein → internal control candidates (normalized factor) Choose one protein as internal control Every protein mean & SD and protein mean & SD → tcal & degrees of freedom → significant hits for protein

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