The NIPS2015 Workshops videos are out. In particular, we have that of the Machine Learning in Computational Biology workshop today (I am trying to organize a workshop for this coming NIPS and if it accepted I'll make sure that all the videos are taken). Enjoy !
- Dana Pe'er, Keynote: Human traits and diseases
- Kieran Campbell and Chris Yau. Bayesian Gaussian Process latent variable models for pseudotime inference in single-cell RNA-seq data.
- Christof Angermueller and Oliver Stegle. Multi-task deep neural network to predict CpG methylation profiles from low-coverage sequencing data.
- Oren Kraus, Lei Jimmy Ba and Brendan Frey. Classifying Microscopy Images Using Convolutional Multiple Instance Learning.
- David Kelley, Jasper Snoek and John Rinn. Basset: Learning the regulatory code of the accessible genome with deep convolutional neural networks
- Felipe Llinares-López, Laetitia Papaxanthos, Dean Bodenham and Karsten Borgwardt. Detecting significant higher-order associations between genotype and phenotype while conditioning on covariates.
- Antti Honkela, Jaakko Peltonen, Hande Topa, Iryna Charapitsa, Filomena Matarese, Korbinian Grote, Hendrik G. Stunnenberg, George Reid, Neil Lawrence and Magnus Rattray. Genome-wide modelling of transcription kinetics reveals patterns of RNA production delays.
- Victoria Hore, Andy Dahl, Ana Vinuela, Alfonso Buil, Julian Knight, Mark I McCarthy, Kerrin Small and Jonathan Marchini. Tensor decomposition and causal inference for multi-tissue gene expression experiments.
- Aziz M. Mezlini, Fabio Fuligni, Adam Shlien and Anna Goldenberg. Disease mechanism discovery by integrating exome and gene expression datasets in one graphical model of disease.
Credit photo: Date: 24 June 2016, Satellite: Rosetta, Depicts: Comet 67P/Churyumov-Gerasimenko
Rosetta navigation camera (NavCam) image taken on 17 June 2016 at 30.8 km from the centre of comet 67P/Churyumov-Gerasimenko. The image measures 2.7 km across and has a scale of about 2.6 m/pixel.
The image has been cleaned to remove the more obvious bad pixels and cosmic ray artefacts, and intensities have been scaled.
Another version of this image, which has been contrast enhanced, is available here.
More images of comet 67P/Churyumov-Gerasimenko can be found in the '67P - by Rosetta' collection.
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 IGO License.
Copyright: ESA/Rosetta/NAVCAM, CC BY-SA IGO 3.0
Rosetta navigation camera (NavCam) image taken on 17 June 2016 at 30.8 km from the centre of comet 67P/Churyumov-Gerasimenko. The image measures 2.7 km across and has a scale of about 2.6 m/pixel.
The image has been cleaned to remove the more obvious bad pixels and cosmic ray artefacts, and intensities have been scaled.
Another version of this image, which has been contrast enhanced, is available here.
More images of comet 67P/Churyumov-Gerasimenko can be found in the '67P - by Rosetta' collection.
This work is licensed under a Creative Commons Attribution-ShareAlike 3.0 IGO License.
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