Eleven grand challenges in single-cell data science

HIGHLIGHTS

  • who: David Lähnemann from the (UNIVERSITY) have published the article: Eleven grand challenges in single-cell data science, in the Journal: (JOURNAL)
  • what: No matter how varied the challenges are-by research goal, tissue analyzed, experimental setup, or just by whether DNA or RNA is sequenced- they are all rooted in data science, i.e., are computational or statistical in nature. The authors propose the data science challenges that the authors believe to be among the most relevant for bringing SCDS forward. For each challenge, the authors provide a thorough review of the status . . .

     

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