BGCS
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Binary Gaussian Copula Synthesis: an LLM-powered data augmentation framework for early dialysis prediction in chronic kidney disease
arXiv:2403.00965v2 Announce Type: replace-cross Abstract: Only a small fraction of patients with chronic kidney disease (CKD) progress to dialysis, creating severe class imbalance that limits the performance of machine learning models for early dialysis prediction. This challenge is compounded by the binary structure of electronic health record (EHR) data, for which most existing augmentation methods were not designed. We propose Binary Gaussian Copula Synthesis (BGCS), a two-stage data...
A global regulatory atlas of Streptomyces reveals conserved and diversified transcriptional networks across actinomycetes
Transcriptional regulatory networks determine how bacteria integrate environmental signals with growth, metabolism and stress adaptation. Actinomycetes encode exceptionally large repertoires of transcription factors (TFs) coordinating morphological development, environmental adaptation and specialized metabolism, yet their regulatory networks remain poorly defined. Here, we apply DNA affinity purification sequencing (DAP-seq) to 789 predicted TFs of Streptomyces coelicolor, generating...
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Course-based Undergraduate Research Experiences (CUREs) provide an accessible, scalable platform for scientific discovery. Here, we present the WormFood CURE, which mines environmental bacterial isolates for bioactive secondary metabolites using Caenorhabditis elegans phenotype suppression as a functional readout. Utilizing the multivulva (Muv) phenotype, our pilot cohort interrogated 41 wild bacterial isolates for suppression of Ras/MAPK signaling.