<div dir="ltr"><div class="gmail_quote"><br><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div style="outline:none;font-family:arial,sans-serif;font-size:medium"><div style="margin-bottom:0px;border-right-width:0px;border-bottom-width:0px;border-left-width:0px;border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;width:592.400024414063px;float:none!important"><div style="padding-top:0px;border-right-width:0px;border-bottom-width:0px;border-left-width:0px;border-bottom-color:rgb(216,216,216);border-top-color:rgb(216,216,216);border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;margin-bottom:0px;margin-left:0px;margin-right:0px"><div><div style="padding-bottom:20px;padding-left:4px"><div style="margin-left:30px"><div style="font-size:12.8000001907349px;margin-bottom:0px;margin-left:0px;padding-bottom:5px"><div style="overflow:hidden">Call for contributions<br><br> Workshop on <b>analyzing the 'omics of the brain</b><br><br> <a href="http://chechiklab.biu.ac.il/~gal/BrainOmics2014/" target="_blank">http://chechiklab.biu.ac.il/~gal/BrainOmics2014/</a><br><br><br> A workshop at the Twenty-Seventh Annual Conference on<br> Neural Information Processing Systems (NIPS 2014)<br> Montreal, QC, Canada, December 12, 2014.<br><br><br>Important dates:<br><b>Oct 31, 2014</b> : Deadline for submission of extended abstracts<br>Nov 10, 2014: Acceptance notification<br>Dec 12, 2014: Workshop date<br><br>WORKSHOP DESCRIPTION<br><br>In the past few years, the field of molecular biology of the brain has<br>been transformed from hypothesis-based experiments to high-throughput<br>experiments. The massive growth of data, including measures of the<br>brain transcriptome, methylome and proteome, now raises new questions<br>in neurobiology and new challenges in analysis of these complex and<br>vast datasets. While many of these challenges are shared with other<br>computational biology studies, the complexity of the brain poses<br>special challenges. Brain genomics data includes high-resolution<br>molecular imagery, developmental time courses and most importantly,<br>underlies complex behavioral phenotypes and psychiatric diseases. New<br>methods are needed to address questions about the brain-wide,<br>genome-wide and life-long genomic patterns in the brain and their<br>relation to brain functions like plasticity and information<br>processing.<br><br>The goal of the workshop is to bring together people from the<br>neuroscience, cognitive science and the machine learning community. It<br>aims to ease the path for scientists to connect the wealth of genomic<br>data to the issues of cognition and learning that are central to NIPS,<br>with an eye to the emerging high-throughput behavioral data which many<br>are gathering. We invite contributed talks on novel methods of<br>analysis to brain genomics, as well as techniques to make meaningful<br>statistical relationships to phenotypes. The target audience includes<br>two main groups: people interested in developing machine learning<br>approaches to neuroscience, and people from neuroscience and cognitive<br>science interested in connecting their work to brain genomics.<br><br>SUBMISSION INSTRUCTIONS<br><br>Researchers interested in contributing should upload an extended<br>abstract of 4 pages in PDF format to the Brain-omics submission web site<br><a href="https://easychair.org/conferences/?conf=brainomics2014" target="_blank">https://easychair.org/conferences/?conf=brainomics2014</a><br>by Oct 31st, 2014, 11:59pm (time zone of your choice).<br><br>No special style is required. Authors may use the NIPS style file, but<br>are also free to use other styles as long as they use standard font<br>size (11 pt) and margins (1 in). <span style="font-size:12.8000001907349px">Relevant works that have been <br>recently published or presented </span><span style="font-size:12.8000001907349px">elsewhere are allowed, <br>provided that previous publications are </span><span style="font-size:12.8000001907349px">explicitly acknowledged. </span></div><div style="overflow:hidden"><br></div><div style="overflow:hidden"><span style="font-size:12.8000001907349px">CONFIRMED INVITED SPEAKERS</span><br></div><div style="overflow:hidden"><span style="font-size:12.8000001907349px"><br></span></div><div style="overflow:hidden"><span style="font-size:12.8000001907349px">Nenad Sestan (Yale)</span><br style="font-size:12.8000001907349px"></div><div style="overflow:hidden"><span style="font-size:12.8000001907349px">Eran Mukamel (UCSD)</span><span style="font-size:12.8000001907349px"><br></span></div><div style="overflow:hidden"><br></div><div style="overflow:hidden"><br>ORGANIZERS<br><br>Gal Chechik (BIU)<br>Mark Reimers (VCU)<div></div></div><div style="overflow:hidden"><span style="font-size:12.8000001907349px">Michael Hawrylycz (Allen institute)</span></div></div></div></div></div></div></div></div></div>
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