I understand the two winning methods will be presented at the upcoming DREAM conference. How will the details of these methods be disseminated to those who cannot attend the conference? Thanks, Epi.

Created by John Reid Epimetheus
Dear Daniel, Just mailed the data to you via dxquang@synapse.org (hoping you have a functional e-mail address associated with your Synapse account). Best, Ivan
Thanks Ivan. Then, can you tell me which training cell lines you used for each case? From what I can tell from your program description, you used a naive classifier to determine which one or two cell lines shared the most common binding sites with the testing cell lines, and proceeded to train an xgboost model using these one or two training cell lines. Best, Daniel
Dear Daniel, We currently lack the bandwidth to upload all the intermediate files. The source code is an unpolished mix of different programming languages but it should be reproducible (given you follow a write-up and have enough computing power). Currently we are not ready to release the code for public, but we'd be glad to share 'on request'. Please drop me a mail (e.g. using Synapse address) and I'll send the scripts. Best, Ivan
Hi Ivan, Is there any chance you'll make any of the preprocessed files (e.g. bigWigs) or scripts publicly available? Thanks, Daniel
Thank you Ivan and Jim. I will have a look at the slides and will look forward to any live streaming.
Dear Epi, Probably the organizers will make those available on wiki soon, but we temporary put the conference slides and the (way-too-detailed) method writeup online: http://autosome.ru/slides/dream2016.pdf http://autosome.ru/slides/DREAM.ENCODE.autosomeru.method.writeup.pdf BTW, you may also find interesting recent preprints on DNase-based binding sites predictions from two strong-performing teams: http://biorxiv.org/content/early/2016/10/24/082594 http://www.biorxiv.org/content/early/2016/10/27/083998.abstract Best, Ivan
Hi Epi, we will be definitely recording presentations and making that available. We are also looking into live streaming the presentations. We will notify all participants when we have more details. Cheers, Jim

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