Rahul Satija

@satijalab

Core Member, New York Genome Center Assistant Professor, Biology, NYU

ಸೆಪ್ಟೆಂಬರ್ 2009 ಸಮಯದಲ್ಲಿ ಸೇರಿದ್ದಾರೆ

ಟ್ವೀಟ್‌ಗಳು

ನೀವು @satijalab ಅವರನ್ನು ತಡೆಹಿಡಿದಿರುವಿರಿ

ಈ ಟ್ವೀಟ್‌ಗಳನ್ನು ವೀಕ್ಷಿಸಲು ನೀವು ಖಚಿತವಾಗಿ ಬಯಸುವಿರಾ? ಟ್ವೀಟ್ ವೀಕ್ಷಣೆಯು @satijalab ಅವರ ತಡೆತೆರವುಗೊಳಿಸುವುದಿಲ್ಲ

  1. ಪಿನ್ ಮಾಡಿದ ಟ್ವೀಟ್
    ನವೆಂ 2

    Our new preprint, led by and . We project CITE-seq data onto HCA references, classify scATAC-seq profiles based on scRNA-seq clusters, and harmonize sequencing and imaging data to predict spatial patterns transcriptome-wide:

    ರದ್ದುಗೊಳಿಸು
  2. ಡಿಸೆಂ 19

    scRNA-seq multiplexing can reduce batch effects, ID doublets, and dramatically reduce costs! You can purchase reagents for Cell Hashing from : And check out how much $ you can save using our cost-calculator:

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  3. ಡಿಸೆಂ 19
    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  4. ಡಿಸೆಂ 17

    Beautiful study from demonstrating that ADAR1 loss sensitizes tumors to immunotherapy. Uses scRNA-seq to show remarkable shift in subpopulation density after genetic perturbation:

    ರದ್ದುಗೊಳಿಸು
  5. ಡಿಸೆಂ 12
    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  6. ಡಿಸೆಂ 12

    Many thanks to , , , and for support, and to a wonderful organizing committee (, , Teresa Davoli, , , , Nicole Rusk)

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  7. ಡಿಸೆಂ 12

    We are excited to launch the NYU-Nature conference: Next-Generation Genomics, on August 12-13 2019! Notice anything in common about the speakers? Learn more, register, and submit abstracts at . Please RT and spread the word!

    ಮತ್ತು
    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  8. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ಡಿಸೆಂ 5

    The first paper from our lab is finally out! Single-cell mapping of lineage and identity in direct reprogramming: Thread.. (spoiler alert: all our tools, protocols and data are freely available)

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  9. ಡಿಸೆಂ 4

    Interested in deep learning for scRNA-seq? Check out: * Autoencoders for de-noising: DCA, ; * Deep transfer learning: SAVER-X, Zhang Lab; * Single cell variational inference: scVI, ;

    ರದ್ದುಗೊಳಿಸು
  10. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ನವೆಂ 30

    Exciting work led by and : We show feasibility of in silico predictions of cell-type specific perturbation response, out of sample, across cell types, studies and species.

    ರದ್ದುಗೊಳಿಸು
  11. ನವೆಂ 14

    Teichmann lab reconstructs the human maternal–fetal interface with breathtaking resolution to find distinct subsets of perivascular, stromal, and NK cells- and predict cell-cell interactions based on ligand/receptor expression profiles!

    ರದ್ದುಗೊಳಿಸು
  12. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ನವೆಂ 9

    Our latest, led by : ECCITE-seq (Expanded CRISPR-compatible ) for detecting upwards of five modalities from single cells, including direct sgRNA capture for single cell CRISPR screens with multimodal readout

    , , ಮತ್ತು 4 ಇತರರು
    ರದ್ದುಗೊಳಿಸು
  13. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ನವೆಂ 5

    Harmony is a power and fast algorithm to integrate multiple single cell RNA-seq data sets that effectively corrects for batch and technology differences, and easily scales to >million cells

    ಈ ಥ್ರೆಡ್ ತೋರಿಸಿ
    ರದ್ದುಗೊಳಿಸು
  14. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ನವೆಂ 2

    Happy to announce Conos - a tool our lab has developed to integrate large and heterogeneous collections of single-cell data, including clinically-oriented cohorts, or organism atlases. Joined by related and work!

    ರದ್ದುಗೊಳಿಸು
  15. ಅವರು ಮರುಟ್ವೀಟಿಸಿದ್ದಾರೆ
    ನವೆಂ 2

    Our lab introduces the LIGER integrative single-cell algorithm, incredible work of Josh Welch, now w/ his own lab ! Work supported by . Please run LIGER on your data and send us your feedback.

    ರದ್ದುಗೊಳಿಸು
  16. ಅಕ್ಟೋ 4

    Wow - lab uses CRISPR spacer acquisition to record and store a cell's transcriptional history as DNA! Seems like science fiction, with beautiful and convincing data:

    ರದ್ದುಗೊಳಿಸು
  17. ಅಕ್ಟೋ 3

    Congrats to and the 'Tabula Muris' consortium - 100k mouse cells across 20 tissues. The breadth of biological samples, and the use of multiple technologies, is (and has been for 9 months!) an incredible community resource:

    ರದ್ದುಗೊಳಿಸು
  18. ಸೆಪ್ಟೆಂ 26

    We're excited to be part of , and to help build tools for single cell mapping across the human body!

    ರದ್ದುಗೊಳಿಸು
  19. ಸೆಪ್ಟೆಂ 24

    From: and : scRNA-seq over a timecourse of cancer immunotherapy. They identify cell-type specific signatures of response and resistance. Important work, and exemplifies the unsupervised power of clinical single cell sequencing:

    ರದ್ದುಗೊಳಿಸು
  20. ಸೆಪ್ಟೆಂ 17

    Beautiful and creative work from and in . They sequence pairs of cells, and use one as a spatial 'anchor' to infer tissue coordinates in the liver. Also great to see the authors cite 5 preprints!

    ರದ್ದುಗೊಳಿಸು

ಲೋಡಿಂಗ್ ಸಮಯ ಸ್ವಲ್ಪ ತೆಗೆದುಕೊಳ್ಳುತ್ತಿರುವಂತೆನಿಸುತ್ತದೆ.

Twitter ಸಾಮರ್ಥ್ಯ ಮೀರಿರಬಹುದು ಅಥವಾ ಕ್ಷಣಿಕವಾದ ತೊಂದರೆಯನ್ನು ಅನುಭವಿಸುತ್ತಿರಬಹುದು. ಮತ್ತೆ ಪ್ರಯತ್ನಿಸಿ ಅಥವಾ ಹೆಚ್ಚಿನ ಮಾಹಿತಿಗೆ Twitter ಸ್ಥಿತಿಗೆ ಭೇಟಿ ನೀಡಿ.

    ಇದನ್ನೂ ಸಹ ನೀವು ಇಷ್ಟಪಡಬಹುದು

    ·