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Posts Tagged ‘from_dw’
Read Light Up Your Imagination Argus Large Poster by Trend Enterprises: Language Arts: K12SchoolSupplies.net
February 15, 2019Nature 03142018 Single cell rnaseq of development of human brain Pfc
March 18, 2018https://www.nature.com/articles/nature25980
A single-cell RNA-seq survey of the developmental landscape of the human prefrontal cortex
Suijuan Zhong
, Shu Zhang
[…]
Xiaoqun Wang
Nature
doi:10.1038/nature25980
A survey of human brain transcriptome diversity at the single cell level
June 27, 2017Brain #transcriptome diversity at the single cell level
http://www.PNAS.org/content/112/23/7285 Has useful gene-exp. profiles of specific neural cell types
has profiles for 185 biomarker genes for 6 cell types
R package: variancePartition
November 13, 2016https://bioconductor.org/packages/release/bioc/html/variancePartition.html
new tool in psychencode meeting
Single-cell ChIP-seq
October 23, 2015#Singlecell ChIPseq reveals…subpopulations defined by chromatin statehttp://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3383.html Sparse data: on order of 1K uniq. reads/cell
http://www.nature.com/nbt/journal/vaop/ncurrent/full/nbt.3383.html
Lessons from modENCODE
July 11, 2015Publication delays at PLOS and 3,475 other journals
July 6, 2015#Publication delays at PLOS & 3,475 other[s] by @dhimmel http://blog.dhimmel.com/plos-and-publishing-delays Perhaps journals should provide on-time stats as airlines do
paper on cancer driver genes in RECOMB 2014
April 6, 2014paper from RECOMB 2014 might be interesting to you, which uses
hitting time in random walk to identify cancer drivers.
http://link.springer.com/chapter/10.1007%2F978-3-319-05269-4_23
HIT.nDRIVE: Multi-Driver Gene Prioritization based on Hitting Time
Raunak Shrestha, Ermin Hodzic, Jake Yeung, Kendric Wang, Thomas
Sauerwald, Phuong Dao, Shawn Anderson, Himisha Beltran, Mark A. Rubin,
Colin Collins, Gholamreza Haffari and S. Cenk Sahinalp.
linkstream2 microblog 