TeselaGen Biotechnology

Shows how to create designs out of DISCOVER's suggested candidates

Closing the DBTL loop with TeselaGen

Find about the quality of your Machine Learning models through DISCOVER module.

DISCOVER: Statistical Metrics for model evaluation

Solve optimization problems such as finding the best strain or fermentation parameters with TeselaGen's DISCOVER module

DISCOVER: Candidate Selection

Measure the complexity of a given dataset through TeselaGen's DISCOVER module

DISCOVER: Design Space Complexity

Estimate the performance of a machine learning model over new, unseen samples of data using TeselaGen's Discover toolkit.

DISCOVER: Cross-validation

Eduardo Abeliuk

Andrés Ramirez

Use machine learning models, validate predictions and select the best conditions for your experimentation. 

Discover toolkit 

Find answers and get help from Intercom Support and Community Experts

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