Results 191 to 200 of about 52,526 (306)
From pixels to cell types: a comprehensive review of computational methods for spatial transcriptomics deconvolution. [PDF]
Saqib J, Kim J.
europepmc +1 more source
Probabilistic and Deep Learning Algorithms for the Analysis of Imagery Data
Saikat Basu, Saikat Basu
openalex +2 more sources
A novel machine learning strategy tackles ambiguous compositional data to predict superalloy fatigue. By integrating partial label with transfer learning and enriching features through thermodynamic calculations, this approach achieves superior accuracy and interpretability.
Haopeng Lv +10 more
wiley +1 more source
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 mainly combines spatial/single‐cell transcriptomics and metabolomics to reveal LOX+ Malig‐5 as NSCLC brain metastasis‐initiating cells, forming a niche with NET‐releasing neutrophils via the NET‐KRT10 axis. The metastatic niche is involved with metabolic reprogramming, with palmitic acid serving as a key metabolite.
Bo Chen +17 more
wiley +1 more source
From point to probabilistic gradient boosting for claim frequency and severity prediction. [PDF]
Chevalier D, Côté MP.
europepmc +1 more source
EGF‐induced de novo transcription of connexins Cx26 and Cx31 promotes flocking behavior that fluidizes epithelia and enables coordinated collective migration. Connexin‐driven cytoplasmic exchange mechanistically links growth‐factor signaling to invasive dynamics.
Hind Abdo +18 more
wiley +1 more source
Predicting livestock intake energy at different grazing strategies using agent-based modelling of livestock. [PDF]
Yoshihara Y +4 more
europepmc +1 more source
Probabilistic analysis of algorithms for dual bin packing problems
János Csirik +3 more
openalex +2 more sources
CellPolaris decodes how transcription factors guide cell fate by building gene regulatory networks from transcriptomic data using transfer learning. It generates tissue‐ and cell‐type‐specific networks, identifies master regulators in cell state transitions, and simulates TF perturbations in developmental processes.
Guihai Feng +27 more
wiley +1 more source

