Coad
PulseAugur coverage of Coad — every cluster mentioning Coad across labs, papers, and developer communities, ranked by signal.
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New agentic framework predicts gene perturbation effects using patient data
Researchers have developed CASCADE, a novel agentic framework designed to predict the downstream transcriptional effects of gene perturbations. This framework leverages precomputed ARACNe regulatory networks and is vali…
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AI framework identifies cancer gene regulators across networks
Researchers have developed RegNetAgents, a novel AI-powered multi-agent framework designed to identify potential regulatory drivers within cancer genomics. This system integrates data from both bulk tumor and single-cel…
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New research advances time-series anomaly detection methods
Researchers are developing advanced methods for time-series anomaly detection, focusing on improving accuracy and interpretability. New approaches include conditional attribution for root cause analysis, attention-based…