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Re: position in cancer informatics

From: Jakub Kotowski <jakubkotowski@gmx.net>
Date: Sat, 21 Jul 2012 14:11:56 +0200
Message-ID: <500A9C8C.1000107@gmx.net>
To: Stefan Decker <stefan.decker@deri.org>
CC: Helena Deus <helena.deus@deri.org>, Melvin Carvalho <melvincarvalho@gmail.com>, "nathan@webr3.org" <nathan@webr3.org>, Michael Hausenblas <michael.hausenblas@deri.org>, "semantic-web@w3.org" <semantic-web@w3.org>, "public-lod@w3.org" <public-lod@w3.org>, "www-rdf-interest@w3.org" <www-rdf-interest@w3.org>, "protege-discussion@lists.stanford.edu" <protege-discussion@lists.stanford.edu>, "semanticweb@yahoogroups.com" <semanticweb@yahoogroups.com>, "dbworld@cs.wisc.edu" <dbworld@cs.wisc.edu>, "machine-learning@egroups.com" <machine-learning@egroups.com>, "taverna-users@lists.sourceforge.net" <taverna-users@lists.sourceforge.net>, "bbb@bioinformatics.org" <bbb@bioinformatics.org>
Perhaps Kaggle may also be relevant:


>From the website:

Participate in competitions

Kaggle is an arena where you can match your data science skills against
a global cadre of experts in statistics, mathematics, and machine
learning. Whether you're a world-class algorithm wizard competing for
prize money or a novice looking to learn from the best, here's your
chance to jump in and geek out, for fame, fortune, or fun.

Create a competition

Kaggle is a platform for data prediction competitions that allows
organizations to post their data and have it scrutinized by the world's
best data scientists. In exchange for a prize, winning competitors
provide the algorithms that beat all other methods of solving a data
crunching problem. Most data problems can be framed as a competition.


On 07/20/2012 11:22 AM, Stefan Decker wrote:
> The discussion seem to point to a deeper question: how to enable crowd
> sourcing of the analysis of these kind of data sets? This may involve
> running of analysis code or maybe even manual work.
> What kind of computational infrastructure would we need to enable this?
> And how do we validate and aggregate results?
> On Thursday, 19 July 2012, Helena Deus wrote:
>     An on a related topic and the reason why doing cancer informatics is
>     so exciting in this area: a happy story where exploring data
>     patterns enabled curing a cancer which had a 4-5% survival chance
>     - http://www.nytimes.com/2012/07/08/health/in-gene-sequencing-treatment-for-leukemia-glimpses-of-the-future.html?_r=1
>     On Jul 19, 2012, at 7:41 PM, Melvin Carvalho wrote:
>>     On 17 July 2012 22:27, Nathan <nathan@webr3.org <javascript:_e({},
>>     'cvml', 'nathan@webr3.org');>> wrote:
>>         Can you open this right up for everybody to be involved?
>>         I know I for one would be happy to invest free time to looking
>>         at these datasets to find patterns - are they open and
>>         available online, any pointers to get started, anything at all
>>         that would enable me (and hopefully others skilled here) to
>>         work on this?
>>         It sounds like less of a "position" and more of a global need
>>         we who can should all be pumping time in to.
>>     Maybe related:
>>     15-Year-Old Maker Astronomically Improves Pancreatic Cancer Test
>>     http://blog.makezine.com/2012/07/18/15-year-old-maker-astronomically-improves-pancreatic-cancer-test/
>>     He gleaned information on the topic from his “good friend Google,”
>>     and began his research. Yes, he even got in trouble in his science
>>     class for reading articles on carbon nanotubes instead of doing
>>     his classwork. When Andraka had solidified ideas for his novel
>>     paper sensor, he wrote out his procedure, timeline, and budget,
>>     and emailed 200 professors at research institutes. He got 199
>>     rejections and one acceptance from Johns Hopkins: “If you send out
>>     enough emails, someone’s going to say yes.”
>>         Best,
>>         Nathan
>>         Helena Deus wrote:
>>             Dear all,
>>             We have an exciting research assistant position open at
>>             DERI for a chance to work with Cancer Informatics! We are
>>             looking for an enthusiastic developer who is familiar with
>>             bioinformatics concepts. Your role will be exploring
>>             cancer related datasets and looking for pattern (applying,
>>             for example, machine learning techniques) that can be used
>>             for personalized medicine.
>>             Please don't hesitate to Fw. this to whomever you think
>>             might be interested.
>>             To apply or to ask for more information, please reply to
>>             me (helena.deus@deri.org <javascript:_e({}, 'cvml',
>>             'helena.deus@deri.org');>) with CV + motivation letter
>>             Kind regards, Helena F. Deus, PhD
>>             Digital Enterprise Research Institute
>>             helena.deus@deri.org <javascript:_e({}, 'cvml',
>>             'helena.deus@deri.org');>
> -- 
> Professor Stefan Decker
> Director, Digital Enterprise Research Institute,
> Professor of Digital Enterprise
> National University of Ireland, Galway. Ireland.
> Tel: +353.91.495011
> E-mail: stefan.decker@deri.org <mailto:stefan.decker@deri.org>
> Web: http://www.deri.ie
> Personal: http://www.stefandecker.org
Received on Saturday, 21 July 2012 12:12:28 UTC

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