Deep domain adaptation with manifold aligned label transfer
Sign Up to like & getrecommendations! Published in 2019 at "Machine Vision and Applications"
DOI: 10.1007/s00138-019-01003-1
Abstract: We propose a novel deep learning domain adaptation method that performs transductive learning from the source domain to the target domain based on cluster matching between the source and target features. The proposed method combines… read more here.
Keywords: target; domain adaptation; adaptation; label transfer ... See more keywords
stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2025.1566675
Abstract: The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and tissue heterogeneity pose significant challenges to alignment analysis. Here, we present… read more here.
Keywords: based supervised; spatial transcriptomics; supervised graph; attention based ... See more keywords