• A high-level introduction to t-SNE, which is a commonly used tool for data analysis
  • What assumptions t-SNE makes about the data
  • What can you and what can you not conclude from a t-SNE visualization.

A Practical Guide To UMAP

John Healy - Author of UMAP, Tutte Institute of Mathematics and Computing

Getting To Know The Origin Of Tumor-Associated Macrophages

María Casanova-Acebes, PhD (Head of Cancer Immunity Laboratory, Spanish National Cancer Research Center CNIO)

Topography of spatial gene expression in the human prefrontal cortex

  • Kristen Maynard, PhD (The Lieber Institute for Brain Development)
  • Leonardo Collado-Torres, PhD (The Lieber Institute for Brain Development)

Oncofetal ecosystem: Embryonic tale of Tumorigenesis

  • Ankur Sharma, PhD (Genome Institute of Singapore)
  • Jennifer Pham (BioTuring Inc.)

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)

Characterizing Antitumor Immunity One Cell At A Time

Anthony Cillo, PhD (University Pittsburgh)

Towards the discovery of lipid-associated macrophage (LAM) cells

  • Lorenz Adlung, PhD (Weizmann Institute of Science)
  • Jennifer Pham (BioTuring Inc.)

Building the single-cell atlas of the bone marrow microenvironment

  • Anastasia Tikhonova, PhD (NYU Langone Medical Center)
  • Igor Dolgalev (NYU Langone Medical Center)

Building a transcriptional atlas of myeloid subsets during neuroinflammation using single-cell RNA sequencing

  • Roman Sankowski, PhD (Institute of Neuropathology at the University of Freiburg Medical Center)
  • Jennifer Pham (BioTuring Inc.)

Understanding chemo-resistance using single-cell RNA sequencing

  • Ankur Sharma, PhD (Genome Institute of Singapore)
  • Son Pham, PhD (BioTuring Inc.)