User: izsyed16

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izsyed1610
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Posts by izsyed16

<prev • 13 results • page 1 of 2 • next >
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Comment: C: correlation based supervised feature selection of gene expression data
... Thank you so much Kevin Blighe for making my question's appearance better. I am using 'array mining tool' for CFS and its output is top selected genes, But I want to grasp the idea that how is this tool finding feature-class correlation. In fact I need some example in which manually feature selecti ...
written 2.3 years ago by izsyed1610
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Comment: C: correlation based supervised feature selection of gene expression data
... Its micro array data I am trying to understand logic behind all that feature selection ...
written 2.3 years ago by izsyed1610
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correlation based supervised feature selection of gene expression data
... For performing filter based feature selection using gene expression data with (genes (features) along rows and samples along columns) how can I find feature-class correlation, If samples are categorized into two classes healthy and tumor? how can I find feature-class correlation if class is categor ...
feature selection correlation gene expression data written 2.3 years ago by izsyed1610 • updated 2.3 years ago by Kevin Blighe55k
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Comment: C: Correlation based biological network versus markov network
... I have to make a disease associated network using gene expression data. I want to make a gene co-expression network using correlation, rather than Markov network but could not find reason that how correlation based network is better than Markov network. I am a bit confused about it. Or why should I ...
written 2.3 years ago by izsyed1610
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Comment: C: Correlation based biological network versus markov network
... Can you please explain that for which data Markov random field is suitable and for which data correlation based network is more appropriate? I am working on gene expression data. ...
written 2.3 years ago by izsyed1610
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Comment: C: Correlation based biological network versus markov network
... If I want to make a biological network then which graph is more appropriate? ...
written 2.3 years ago by izsyed1610
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Correlation based biological network versus markov network
... Hi all, I have gene micro array data and I want to draw network out of this data. Now I am confuse about two techniques either Markov random field network or correlation based network. Please guide me what are pros and cons of both methods. ...
markov network written 2.3 years ago by izsyed1610 • updated 2.3 years ago by Jean-Karim Heriche21k
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Answer: A: up regulated and down regulated genes in co expression network
... Can I consider both scenarios simultaneously that is can I take positive correlation (up regulated and down regulated simultaneously) and negative correlation (up regulated versus down regulated inversely) in one network that is can I take threshold as follows, correlation>0.9 and correlation < ...
written 2.3 years ago by izsyed1610
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up regulated and down regulated genes in co expression network
... Hi all, I am making a co expression network using gene micro array data via Pearson correlation. If I consider a threshold value of 0.95 for correlation coefficient then my question is that should I consider positive correlation coefficient or both (positive and negative correlation values) for mak ...
gene coexpression network correlation written 2.3 years ago by izsyed1610
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Measurement of confidence interval of forest plot for diagnostic Odd Ratio
... Hi all, I am using Metadisc for forest plot of Diagnostic odd ratio(DOR), My Input values are TP, TN, FP, FN of individual studies. Forest Plot gives me Odd ratio for each study and pooled value of DOR from all studies along with confidence Interval. My question is that how confidence interval is ...
confidence interval written 2.3 years ago by izsyed1610 • updated 2.3 years ago by Kevin Blighe55k

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