Shypd.aiThe largest open index of AI toolsState is an open-source machine learning model that predicts cellular perturbation responses across diverse contexts. It allows users to train state transition models and pretrain state embedding models for biological research.
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State is an open-source machine learning model developed by the Arc Institute, designed to predict how cells respond to various perturbations. It provides functionalities to train State Transition (ST) models for genetic perturbation prediction and pretrain State Embedding (SE) models to embed and annotate new datasets. The tool supports installation via `uv` and offers a command-line interface for preprocessing data, training models, performing inference, and transforming datasets into embeddings. It also includes optional vector database capabilities for querying similar cells. State is particularly useful for researchers in biology and bioinformatics looking to analyze and predict cellular behavior under different experimental conditions, with associated repositories for model evaluation and data loading.
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