Top Tweets for #scg2017
@djoverule #scg2017 #guarda #portugal #djoverule em Pavilhão Do Estádio Municipal Da Guarda https://t.co/eeudjWfPb4
#scg2017 in pictures https://t.co/bEqm1FQD7l
SAUCIE: Our Autoencoder based deep architecture for single cell data analysis was a hit at #scg2017 !
See you all next year in Boston! #scg2017
FANTASTIC talks, excellent food and gracious hosting from the Weizmann – thank you for a top notch conference!
#scg2017
AvO advertising open search for junior and senior PIs this year at Hubrecht Institute – send him an e-mail! @_Hubrecht #scg2017
Mind blowing Alexander van Ouwenaarden #scg2017 @WeizmannScience. Scartrace is so cool. Waiting 4 scartrace mouse that wld b CRE inducable!
IH: Remove dependence of methylation heterogeneity on methylation level, see higher age-dependent variability in CpG sites #scg2017
IH: apply scM&T-seq (methylome + transcriptome) #scg2017
AT: MetaCell Suite builds balanced kNN similarity graph, covers graphs with metacells (>clean up >bootstrap >cluster), visualize #scg2017
Amos Tanay introduces the concept of metacells, maybe something the field will move towards to #scg2017

GC: scRNA-seq, pseudotime reconstruction reveals altered neuronal state in DCSH1 and FAT4 organoid cells #scg2017
Bosiljka Tasic, Allen Institute, wants standards for comparison/integration of datasets from diff labs & new integration methods #scg2017
Great talk by @steinaerts @VIBLifeSciences @WeizmannScience #scg2017! Very cool SCENIC algorithm on TF modules grouping TF and target genes
SA: SCENIC overcomes ‘tumor effect’ (clustering by tumor of origin), allows cells to be clustered closer to cell types #scg2017
Look for the RNA velocity paper in bioRxiv in the next few days! Great collab with Peter Kharchenko #scg2017
Super-excited to present our mouse brain atlas and RNA velocity at #scg2017 ! https://t.co/WH3OMolrgL and https://t.co/cVNgMY7dlB
EM: large-scale data generation to map cell types in the adult mouse brain: collected 690K single-cell transcriptomes #scg2017
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