Results 181 to 190 of about 152,362 (267)
A guide to bayesian networks software for structure and parameter learning, with a focus on causal discovery tools. [PDF]
Canonaco F +4 more
europepmc +1 more source
This study outlines the developmental pipeline of a multiplexed nanozyme‐based lateral flow immunoassay for the purpose of ovarian germ cell tumor detection. It demonstrates the application of a design of experiments optimization approach for nanozyme probe conjugate development.
Aida Abdelwahed +10 more
wiley +1 more source
Learning structurally consistent undirected probabilistic graphical models. [PDF]
Roy S, Lane T, Werner-Washburne M.
europepmc +1 more source
In ovarian cancer, MEOX1 activates the SPHK1/S1P pathway to promote both tumor progression and tumor–stroma crosstalk. MEOX1‐dependent signaling drives CAF activation, enhances VEGF‐C expression, and stimulates lymphangiogenesis, ultimately facilitating lymph node metastasis.
Jiajia Li +10 more
wiley +1 more source
Modernizing biomolecular NMR: The POKY suite. [PDF]
Chiu A, Lee W.
europepmc +1 more source
Molecular, genetic, virological, and biochemical analysis in combination with global proteome and phosphoproteome profiling and functional assays were applied to study the role of PR130 in the context of HSV‐1 replication. The observations reveal that host‐intrinsic mechanisms regulate HSV‐1 replication and highlight PR130 as a susceptibility factor of
Johannes Jungwirth +10 more
wiley +1 more source
Extending GroupStruct2: a Bayesian and machine-learning framework for testing taxonomic hypotheses using morphometric data. [PDF]
Chan KO, Grismer LL.
europepmc +1 more source
Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu +5 more
wiley +1 more source
The Peptonizer2000: Bringing Confidence to Metaproteomics. [PDF]
Holstein T +6 more
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

