User: Mike
Mike • 1.1k
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Posts by Mike
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... Thanks again, yes there is difference in HRs with confidence intervals (upper/lower 95)
HR HRlower HRupper
0.82 0.770 1.01 (discrete)
0.87 0.75 0.97 (continues)
...
written 1 day ago by
Mike • 1.1k
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... Thanks Kevin for your help, I found a relevant article on this issue.
Comparing continuous and discrete analyses of breast cancer survival information
https://www.sciencedirect.com/science/article/pii/S0888754316300684
...
written 1 day ago by
Mike • 1.1k
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... nearly the same results using Z-scores data for discrete (logrankP= 0.02 ) & continuous model (logrankP= 0.00004 ). ...
written 1 day ago by
Mike • 1.1k
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... Thanks Kevin, expression data is RSEM log2 and this is distribution.
https://ibb.co/pbWBV0g
Median expresssion values of this gene is 8.73 in 452 samples ...
written 1 day ago by
Mike • 1.1k
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... Hi ,
I am trying to do a survival analysis for a gene using TCGA data, I did this by both ways, continuous expression value and discrete values (Low and high using median expression values). In both cases there is huge difference in p-values. Can anyone help me which way is better for survival anal ...
written 1 day ago by
Mike • 1.1k
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Answer:
A: PDB id to DSSP
... You can download all pre-calculated DSSP files from this link...
https://swift.cmbi.umcn.nl/gv/dssp/
https://swift.cmbi.umcn.nl/gv/dssp/DSSP_5.html
...
written 15 days ago by
Mike • 1.1k
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... It works perfectly, thank you very much! ...
written 20 days ago by
Mike • 1.1k
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... Thank you very much, for RegParallel I need to upgrade my R (I have R version 3.3.3). ...
written 21 days ago by
Mike • 1.1k
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... Thanks Kevin, as always your help and codes are really very helpful.
Yes I included all genes. you can see my comand:
coxph(Surv(OS_MONTHS, Events) ~., data=merged_data [, c(2, 4:303)])
Is it correct? Sorry for again.. , what do you mean by test each independently and then construct a fina ...
written 21 days ago by
Mike • 1.1k
4
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... Hi all,
I have a list of genes (around 300 genes) and I want survival analysis to find only significant genes. I am using TCGA RSEM normalized data in survival package using following command, but I'm not sure how to choose significant genes.
coxph(Surv(OS_MONTHS, Events) ~., data=merged_data ...
written 21 days ago by
Mike • 1.1k
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