WEBINAR: Supervised learning of disease-associated cell states and dynamics

Webinar on the latest developments in the analysis of single-cell data, including from transcriptomic and imaging technologies.

Recent advances in single-cell technologies have opened the way for high-dimensional, high-throughput, and high-resolution measurements of biological systems. These methods enable capture of rare cell populations, which play a pivotal role in the initiation and progression of diseases such as cancer. However, the identification of such subpopulations and their studies in single-cell datasets remains challenging for data scientists.

On the 15th of March, Scailyte will host a webinar with Prof. Dr. Manfred Claassen, a co-founder of the company, who leads the Clinical Bioinformatics & Machine Learning in Translational Single-cell Biology group at University Hospital in Tübingen, Germany. During the webinar, Prof. Dr. M. Claassen will present his research and development of supervised machine learning techniques to study disease-associated cell states and dynamics in different types of single-cell data. The speaker will also highlight a power of multimodal single-cell data integration, such as imaging flow cytometry, in situ proteomic imaging and RNA-seq data, to achieve an unprecedented high precision in his studies of rare cell types and their pathologic behavior.

The format is the following:

• 5 mins – introduction
• 20 mins – main discussion
• 20 min+ – Q&A