updated 11 months ago by
Angelina_G
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0
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written 19 months ago by
thehung92phuyen
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30
7
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14
replies
3.0k
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6 follow
30
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14
replies
16k
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8 follow
updated 7 months ago by
Ram
40k
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20
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14
replies
3.6k
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updated 5 months ago by
Ram
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460
75
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64
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13
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28
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13
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11k
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9 follow
updated 20 months ago by
liorglic
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1.2k
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written 23 months ago by
Istvan Albert
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18
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13
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Ram
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written 9.9 years ago by
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76
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13
replies
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Ram
40k
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written 9.3 years ago by
Malachi Griffith
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17
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13
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8
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12
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6.4k
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31
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12
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28k
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updated 6 months ago by
Ram
40k
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written 9.9 years ago by
Istvan Albert
98k
6
votes
11
replies
5.2k
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6 follow
updated 7 months ago by
Ram
40k
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written 6.8 years ago by
wu.zhiqiang.1020
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50
16
votes
11
replies
14k
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7 follow
12
votes
11
replies
7.0k
views
updated 4 months ago by
Ram
40k
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written 6.5 years ago by
CandiceChuDVM
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2.4k
16
votes
11
replies
7.7k
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Ram
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27
votes
10
replies
69k
views
9 follow
updated 6 months ago by
Ram
40k
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written 2.5 years ago by
Nitin Narwade
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21
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10
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6.0k
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Ram
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70
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written 22 months ago by
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9
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Comment: gene correlations in between two groups
by
ATpoint
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And how should I know this? I cannot read minds, nor see your screen, data or anything. Please ask a good question with necessary details.
…
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Thanks. But they are already analyzed. Afaik it analyzes raw data. In my dataset for each gene there is score. I want to interpret the data…
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Hello again.
Yes, you can conduct GWAS using binary trait data, but it comes with a whole suite of complications. See [this](https://ww…
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Hello Dariober,
That seems like a good solution, however I'm pretty new to R. Could you tell me how I can do that?
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Not really a bioinformatics related question. Start by looking at R tutorial, there is plenty of them online e.g. : https://www.statmethods…
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You did not add the screenshot.
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Generically via `bedmap`:
```
bedmap --echo --echo-map --count exome.bed annotations.bed > answer.bed
```
The `annotations.bed` fil…
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It seems to me that anova followed by HSD is a more sensible approach than applying independent t-tests. Granted this is the first time I s…
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I am guessing you want the annotation files. https://ftp.ncbi.nlm.nih.gov/refseq/H_sapiens/annotation/GRCh38_latest/refseq_identifiers/
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Curious how redundant these TFs are. Jeff Vierstra has done some analysis on this to simplify model sets: https://www.vierstra.org/resource…
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Could you add samples from your files and your expected output.
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Check out the 1000 genomes project.
https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/release/20130502/
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Sorry my mistake! it’s been a minute since I’ve used these sites.
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Use specialized software to analyse CRISPR/RNAi data, such as MAGeCK.
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