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  4. Generating interpretable maps of single cell chromatin accessibility and RNA-seq datasets with Similarity Weighted Nonnegative Embedding
Generating interpretable maps of single cell chromatin accessibility and RNA-seq datasets with Similarity Weighted Nonnegative Embedding
Generating interpretable visualizations with SWNE. Comparison of SWNE against other visualization methods, including UMAP and t-SNE. Demonstrations of SWNE on both RNA-seq and chromatin accessibility datasets.
OTHER WEBINARS
Mapping Cell Types in Single Cell: A walk through the Past, Present Practices and Future Challenges

Vivek Das, PhD (Novo Nordisk Research Center Seattle, Inc - NNRCSI)

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Characterizing Antitumor Immunity One Cell At A Time

Anthony Cillo, PhD (University Pittsburgh)

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Towards the discovery of lipid-associated macrophage (LAM) cells
  • Lorenz Adlung, PhD
  • Jennifer Pham
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Building the single-cell atlas of the bone marrow microenvironment
  • Anastasia Tikhonova
  • Igor Dolgalev
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Building a transcriptional atlas of myeloid subsets during neuroinflammation using single-cell RNA sequencing
  • Roman Sankowski, PhD
  • Jennifer Pham
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Understanding chemo-resistance using single-cell RNA sequencing
  • Ankur Sharma, PhD
  • Son Pham, PhD
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E: support@bioturing.com
A: 4445 Eastgate Mall, Suite 200,
San Diego, California 92121, USA.