Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor

RT @RobotRrid: RRIDs were included in the Nature Protocols paper "Scaling up reproducible research for single-cell t…" (https://t.co/Iq74e0…

RRIDs were included in the Nature Protocols paper "Scaling up reproducible research for single-cell t…" (https://t.co/Iq74e0eshK). RRIDs like this improve reproducibility in scientific research. #RRID #STMpublishing

@tangming2005 @David_McGaughey Follow procedure 3, it’s what I used in the thread @tangming2005 linked. You can see how I used it in figures 2 and 3 https://t.co/emyaOQwmPn

RT @b_harris_12: 3/ We analyzed replicable markers and functional annotations for the clusters labeled in the 9 remaining datasets using M…

3/ We analyzed replicable markers and functional annotations for the clusters labeled in the 9 remaining datasets using MetaMarkers (https://t.co/B3OC7GenRj) and MetaNeighbor (https://t.co/emyaOQwmPn). We identified robust signatures that will generalize

RT @jsantoyo: Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor. #SingleCell #Transcriptomics #Reproducib…

21st Century

RT @jsantoyo: Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor. #SingleCell #Transcriptomics #Reproducib…

Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor. #SingleCell #Transcriptomics #ReproducibleAnalysis @NatureProtocols https://t.co/GrpegEVnf7

RT @sc_papers: Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor https://t.co/7eFx8c5z5K https://t.co/GIr…

Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor https://t.co/7eFx8c5z5K https://t.co/GIr9n4Pddt

RT @4130chromo: Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor https://t.co/EW6r2hQsxQ

Scaling up reproducible research for single-cell transcriptomics using MetaNeighbor https://t.co/EW6r2hQsxQ

RT @CSHL: Associate Prof @JesseAGillis discovers groups of genes that work together in cells using a statistical trick: guilt by associatio…

RT @CSHL: Associate Prof @JesseAGillis discovers groups of genes that work together in cells using a statistical trick: guilt by associatio…

Associate Prof @JesseAGillis discovers groups of genes that work together in cells using a statistical trick: guilt by association. Check out his paper in @NatureProtocols which shows how to find these cellular co-conspirators. https://t.co/aD3hfSuY83