DECEMBER 12, 2024  |  1:00-2:00 PM EST

Training models on atlas-scale single-cell datasets

The webinar has been completed but will soon be available on-demand. Provide your details to access the recording.

Aaron Wolen

SPEAKER

Aaron Wolen

Single Cell Product Manager,
TileDB

Ryan Williams

SPEAKER

Ryan Williams 

Staff Software Engineer,
TileDB

Nikos Papailiou

SPEAKER

Nikos Papailiou 

Principal Software Engineer,
TileDB

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As the field of single-cell RNA sequencing continues to evolve, researchers are increasingly interested in using these datasets to train foundational models for a wide range of applications. While training models on smaller datasets that fit into memory is relatively straightforward, scaling up beyond single machines presents significant technical challenges.

TileDB-Tech-Tech

A preview of what you’ll learn in this TileDB Tech Talk

Scaling single-cell RNA sequencing

How to tackle challenges in training models on massive datasets.

Training models with more than 70M cells

Insights into leveraging large-scale single-cell data for research.

Efficient workflows for large-scale data

Practical approaches to manage and analyze massive datasets.

TileDB - Designed for Discovery

TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including data that does not fit into relational databases designed for structured tabular data. Built on a powerful shape-shifting array database, TileDB handles the complexities of non-traditional “unstructured” multimodal data, such as genomic variants, bulk and single-cell transcriptomics, proteomics and, biomedical imaging, as well as the frontier data of the future. Used by science and data teams within big pharma and biotechs to power their multiomics FAIR data platforms, TileDB is the destination for scientific breakthroughs where frontier multimodal data is driving drug discovery.

Speaker

Seth Shelnutt

Seth Shelnutt

Chief Technical Officer

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