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Found 5 papers, 1 papers with code
CRISPR-GPT: An LLM Agent for Automated Design of Gene-Editing Experiments
We showcase the potential of CRISPR-GPT for assisting non-expert researchers with gene-editing experiments from scratch and validate the agent's effectiveness in a real-world use case.
A 5' UTR Language Model for Decoding Untranslated Regions of mRNA and Function Predictions
The model outperformed the best-known benchmark by up to 42% for predicting the Mean Ribosome Loading, and by up to 60% for predicting the Translation Efficiency and the mRNA Expression Level.
Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization
We propose a Thompson Sampling-guided Directed Evolution (TS-DE) framework for sequence optimization, where the sequence-to-function mapping is unknown and querying a single value is subject to costly and noisy measurements.
Gene set proximity analysis: expanding gene set enrichment analysis through learned geometric embeddings
Gene set analysis methods rely on knowledge-based representations of genetic interactions in the form of both gene set collections and protein-protein interaction (PPI) networks.
Cell2State: Learning Cell State Representations From Barcoded Single-Cell Gene-Expression Transitions
Genetic barcoding coupled with single-cell sequencing technology enables direct measurement of cell-to-cell transitions and gene-expression evolution over a long timespan.
