Guess the correlation http://guessthecorrelation.com/ Perhaps a useful sanity check for data from published papers. It’s so easy to fool oneself.
Posts Tagged ‘from’
for those cold, lonely winter evenings…
July 24, 2016Slow motion video – 350,000 frames per second!
July 23, 20165 second of footage turns into 19 hours!
https://www.youtube.com/watch?v=pudhhUEtnCI
Journal Club
July 23, 2016Basset: #DeepLearning the regulatory code w/…NNs by @noncodarnia lab http://genome.cshlp.org/content/early/2016/05/03/gr.200535.115 Has score for all possible SNVs in the genome
“Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks”
Identification of type 2 diabetes subgroups through topological analysis of patient similarity | Science Translational Medicine
July 16, 2016Patient records
http://stm.sciencemag.org/content/7/311/311ra174
A deep learning framework for modeling structural features of RNA-binding protein targets
July 12, 2016#Deeplearning framework for modeling…RBP sites
http://nar.oxfordjournals.org/content/44/4/e32 Uses topic models & determines key primary & tert. struct. features
Richard Feynman Thinking Part 1 of 2 – YouTube
July 8, 2016GPS4CAM
July 5, 2016Predicting peptide binding sites on protein surfaces by clustering chemical interactions – Yan – 2014 – Journal of Computational Chemistry – Wiley Online Library
July 4, 2016Predicting peptide binding sites on protein surfaces by ACCLUSTER http://onlinelibrary.wiley.com/doi/10.1002/jcc.23771/abstract #Chemical interactions out perform pure #packing
Single-Cell Co-expression Analysis Reveals Distinct Functional Modules, Co-regulation Mechanisms and Clinical Outcomes
July 2, 2016#SingleCell Coexpression…Reveals Distinct Func. Modules [v clustering bulk RNAseq]… & Clinical Outcomes [in GBM]
http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004892
QT:{{”
We found that the co-expressed genes observed in single cells and bulk tumors have little overlap and show distinct characteristics. The co-expressed genes identified in bulk tumors tend to have similar biological functions, and are enriched for intrachromosomal
interactions with synchronized promoter activity. In contrast, single-cell co-expressed genes are enriched for known protein-protein interactions, and are regulated through interchromosomal interactions. “}}
Kinome-wide Decoding of Network-Attacking Mutations Rewiring Cancer Signaling: Cell
July 2, 2016Kinome-wide Decoding of #Network-Attacking Mutations Rewiring Cancer http://www.cell.com/cell/abstract/S0092-8674(15)01108-3 Mapping NAMs onto well-known signaling pathways
