[EMAIL PROTECTED] wrote:
> If you can do this, then it is easy to ask python to sort it for you.
>
>
data = [("NM_004619.2", 4910.8), ("NM_004619.2", 2716.3), ("NM_145759.1",
>
> 4805.7), ("NM_14 5759.1", 2716.3), ("XM_378692.1", 56.00)]
>
data.sort(key=lambda x: x[1], reverse=True)
Yo
On Wed, 10 Aug 2005, Srinivas Iyyer wrote:
> There is no cutoff. I would choose top 20% of the all the scores.
Hi Srinivas,
Those are GenBank accessions, aren't they?
> 2. I know how to read a tab delim txt file as list but not into the
> tupeles.
Can you write a function that takes a line
Quoting Srinivas Iyyer <[EMAIL PROTECTED]>:
> 2. I know how to read a tab delim txt file as list but
> not into the tupeles. Apologies for my inexperience.
How are you currently reading the file? --- can you show us some code?
You can create tuples directly. For example:
>>> x = 3
>>> y = 7
>
Hi John:
thank you for your reply:
There is no cutoff. I would choose top 20% of the all
the scores.
2. I know how to read a tab delim txt file as list but
not into the tupeles. Apologies for my inexperience.
can you please help me further.
thanks
srini
--- [EMAIL PROTECTED] wrote:
> Q
Quoting Srinivas Iyyer <[EMAIL PROTECTED]>:
> My question is how can I code to distinguish all high
> scoring group and all low scoring group.
One thing you need to decide is what it means to be high scoring. Is an element
high scoring if its score is above some threshhold, or it a percentage?
Dear Group:
After cutting short a lot of gory detail, I finally
arrived at atomic level of my problem and here I
crash. I guess this crash is due to not so strong
logic (hopefully i get better with more and more
exerise in solving problems).
I have a file with two columns:
Column A (accession num
