User: alessandro brozzi

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Posts by alessandro brozzi

<prev • 17 results • page 2 of 2 • next >
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merge the two cards in a single dataset
... hi, I have 2 RT-PCR microfluidics cards but done on different days: - card A has 51 samples and 48 genes - card B has 160 samples and 96 genes They have in common 7 samples and 41 genes. In both cards each gene is measured in duplicate. I might use HTqPCR functions for instance to analyze them. ...
htqpcr written 7.5 years ago by alessandro brozzi120
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Answer: A: Kegg pathways overlay with log fold change values
... hi, you might try this: http://bioinformatics.oxfordjournals.org/content/25/11/1470.short http://bioc.ism.ac.jp/2.8/bioc/html/KEGGgraph.html Alex On Mon, Jun 11, 2012 at 2:18 PM, Amit Kumar Kashyap wrote: > Hello all, > > does anyone knows how we can overlay expression data { coloring ...
written 7.5 years ago by alessandro brozzi120
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Comment: C: fitting growth curve
... hi Andreia, On Thu, May 17, 2012 at 2:43 PM, Andreia Fonseca wrote: > Dear Alessandro, > > I have tried your code and it works but it is making a fit for each > replicate. I aim to make a fit for each cell type. what you might want to do is to fit a model for each single curve and co ...
written 7.6 years ago by alessandro brozzi120
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Comment: C: fitting growth curve
... yes, you might also make an ANOVA on the slopes (in case of two only different cell lines it's the same of performing a t-test) On Wed, May 16, 2012 at 2:53 PM, Andreia Fonseca wrote: > Dear Alessandro thanks for the quick reply! :) > > after making the fit can I make an anova to compare ...
written 7.6 years ago by alessandro brozzi120
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Answer: A: fitting growth curve
... hi Andreia, "technically" the answer is that your are not giving the right input format into the function. Look at man page about "time" and "data": ?grofit So you might try this input format for your data: time = matrix(rep(1:5,6), 6, 5, byrow=T) data = data.frame( exp_id = rep(c("cell_1", "c ...
written 7.6 years ago by alessandro brozzi120
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Answer: A: eset -Affy Mouse Gene 1.0 ST. Array-
... hi all, I'm working on Affy Mouse Gene 1.0 ST. Array. If I do: rawData = ReadAffy() eset = rma(rawData) I end up with 34760 Features which correspond to transcript_cluster_id. Each transcript_cluster_id is formed by several probe_ids How can I make an eset with the probe_id levels not summarized ...
written 7.6 years ago by alessandro brozzi120
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eset -Affy Mouse Gene 1.0 ST. Array-
... hi all, I'm working on Affy Mouse Gene 1.0 ST. Array. If I do: rawData = ReadAffy() eset = rma(rawData) I end up with 34760 Features which correspond to transcript_cluster_id. Each transcript_cluster_id is formed by several probe_ids How can I make an eset with the probe_id levels not summarized ...
affy written 7.6 years ago by alessandro brozzi120 • updated 7.6 years ago by James W. MacDonald52k

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Popular Question 4.9 years ago, created a question with more than 1,000 views. For eset -Affy Mouse Gene 1.0 ST. Array-
Popular Question 4.9 years ago, created a question with more than 1,000 views. For Rcytoscape Rstudio Error in xml.rpc(obj@uri, "Cytoscape.version") : Problems

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