Hello everyone, The cellHTS2 method normalizePlates has a parameter called "scale". The two values are "additive" vs. "multiplicative". Although it seems be some basic statistical knowledge I am not able to find a clear definition of additive versus multiplicative data scale. Can anyone provide me with one? I have searched the internet but could not find one. 2) In cellHTS2 the scale value has the following influence on normalizing with "median": additive: the measurement is divided by the median multiplicative: the median is subtracted from the measurement I assume that a cellcount is additive data. It is my understanding that the most used method for normalization in RNAi screens is dividing by the median. However, cellHTS2 does not offer that option for additive data. Would it a good idea when the end user is offered to possibility to choose for his/her (additive) data to subtract or divide by the median? 3. I am working with cellHTS2 2.2.5. Maybe something has changed in 2.4.1, but I was not able to find any release notes. Best regards, Cor

Hi Cor, I hope I can help you out here. Let me know if it doesn't makes sense. On the additive scale you look at how much something adds to an effect, whereas on the multiplicative scale you look for how much something multiply the effect. Eg, in a viability screen, if you set the scale to be additive, the normalized values of the wells will be the difference between each and your baseline (median, mean, or what every you want). That is wells with no effect will be more or less zero, whereas wells where cells die or grow faster will be negative and positive. Using the multiplicative scale you would instead look at how the growth is multiplied in the different wells. No effect would be normalized to 1, the number of cells is 1 times the baseline. A value of 2 would mean that the number of cells in that well is 2 times the normal, whereas 0.5 would mean that you have half the cells expected. So you see, once you have set the scale you have no freedom to choose if you want to normalize by subtraction or dividing. As this inf fact is what decides which scale you have. Something normalized by subtracting the median *is* on the additive scale and vice versa. In cellHTS2 the parameter "scale" will control the normalization and transformations preformed on the data set."Additive" will normalize by subtracting the median (or what you set the "method" to be). "Multiplicative" will normalize by dividing with the median. Setting, scale="multiplicative" and log =TRUE, will log transform your data and then set the scale to "additive", (log(toBeNormalized)-log(median)=log(toBeNormalized)/(median)). The different options are there to cater for different kind of experimental setups and biological questions. I don't know which scale is appropriate for your analysis, but if you think the right thing to do is to normalize by dividing by the median, then you think the scale you want is multiplicative. Setting scale= "multiplicative", log=FALSE, will do just what you want (and nothing more :) ) Hope it helps, Elin c.lieftink at nki.nl wrote: > Hello everyone, > > The cellHTS2 method normalizePlates has a parameter called "scale". The two values are "additive" vs. "multiplicative". Although it seems be some basic statistical knowledge I am not able to find a clear definition of additive versus multiplicative data scale. Can anyone provide me with one? I have searched the internet but could not find one. > > 2) In cellHTS2 the scale value has the following influence on normalizing with "median": > additive: the measurement is divided by the median > multiplicative: the median is subtracted from the measurement > > I assume that a cellcount is additive data. It is my understanding that the most used method for normalization in RNAi screens is dividing by the median. However, cellHTS2 does not offer that option for additive data. Would it a good idea when the end user is offered to possibility to choose for his/her (additive) data to subtract or divide by the median? > > 3. I am working with cellHTS2 2.2.5. Maybe something has changed in 2.4.1, but I was not able to find any release notes. > > Best regards, > > Cor > > _______________________________________________ > Bioconductor mailing list > Bioconductor at stat.math.ethz.ch > https://stat.ethz.ch/mailman/listinfo/bioconductor > Search the archives: http://news.gmane.org/gmane.science.biology.informatics.conductor >