Non-negative matrix factorization successfully decomposed 1,398 Staphylococcus aureus genomes into 24 additive modules that distinguish lineage backgrounds from mobile genetic ...
A systematic review and topic modeling study of 160 publications identified three primary clusters spanning cognitive care, motor rehabilitation, and ...
An evaluation of machine learning topic modeling in the Warnow Estuary reveals that matrix factorization effectively tracks seasonal microbial sub-communities ...
A bibliometric and machine-learning analysis of 3,110 publications shows knee osteoarthritis biomechanics research shifting from gait analysis toward mechanobiology, regenerative ...
Researchers have combined non-negative matrix factorization with multi-objective particle swarm optimization to create a community detection algorithm that achieves perfect ...
Single-cell RNA sequencing of pituitary tumors reveals a prolactin-associated molecular subgroup linked to failed postoperative remission in acromegaly.
Researchers have developed RegPathTopic, a deterministic topic-modeling framework that builds traceable regulatory vocabularies from transcription factor-target graphs and benchmarks them ...
A single-cell atlas of nearly a quarter-million cardiac fibroblasts reveals eight distinct cell populations and identifies the metabolic enzyme PDK4 ...
A new comprehensive survey in Vicinagearth organizes the rapidly growing field of fast graph clustering, from anchor-based bipartite graphs to ...
An integrated single-cell and spatial transcriptomic study has identified a triple-negative breast cancer-enriched malignant epithelial program, EP5, linked to aggressive ...
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