Biotechnology & Pharmaceutical Applications
Understand Patterns In Your Experiments
Useful for complex deep learning and other projects
- Multimodal: project tabular data onto an embedding space alongside any other proprietary unstructured data
- Garner insight across chemical and drug discovery, cell painting, microscopy, nuclear magnetic resonance, mass spectroscopy, and more
Find Data Quality Issues, Gaps In Experiments and New Areas To Search
Find issues and areas to focus sooner.
- Find data quality issues impacting performance. For example, identify where you need to using a model to filter out blurry images of samples
- Looking at the embeddings topological space, see if results are as expected – and where to go from there
