Discovery teams working on single-cell data typically get stuck for days and weeks on the initial step of sourcing relevant datasets from open-source portals. Storing and analyzing this data is another roadblock. Let’s take a quick glance at the recurring challenges scientists face while performing single-cell analysis (SCA) and some solutions that could streamline their discovery process.
Challenges of working with publicly available single-cell data
Here are the factors which can streamline the discovery process
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References
Single-Cell approaches to Profile the response the Immune Checkpoint Inhibitors
Insights into immuno-oncology enabled by single cell sequencing
Applying high-dimensional single-cell technologies to the analysis of cancer immunotherapy
Eleven grand challenges in single-cell data science
Single cells make big data: New challenges and opportunities in transcriptomics
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