Department of Chemistry and Chemical Biology, Indiana University Indianapolis, Indianapolis, Indiana 46202, United States Center for Computational Biology and Bioinformatics, Indiana University School ...

In real-world scenarios, the distribution of labeled and unlabeled samples is highly imbalanced, only a few labeled samples are available. SEI methods based on consistency regularization (CR) have ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Journal of Nuclear Medicine March 2025, jnumed.124.268411; DOI: https://doi.org/10.2967/jnumed.124.268411 ...

Oxford Chemistry researchers have developed a method to destroy fluorine-containing PFAS (sometimes labeled 'forever chemicals') while recovering their fluorine content for future use. The results ...

Institute of Tropical Medicine, Faculty of Medicine, University of São Paulo, São Paulo, São Paulo 05403-000, Brazil LIM-46 HC-FMUSP − Laboratory of Medical Investigation, Clinical Hospital, Faculty ...

Abstract: The scarcity of labeled data poses a significant challenge for deep learning-based medical image segmentation. To address this, this study introduces the novel Foundation Model-based ...

In summary, the proposed PolyReco provides a reference model for processing automatically label collinear regions and recognize polyploidy. However, the K S dotplot is sensitive to the size of the ...

Here, multi-label random forest (MLRF) models are compared with single-label random forest (SLRF) for both predicting phenotypic resistance from whole genome sequences and identifying important ...