Using random forests to uncover the predictive power of distance-varying cell interactions in tumor microenvironments. [PDF]
VanderDoes J +5 more
europepmc +1 more source
Groundwater Rise Sustains the World's Largest Alpine Water System Under Global Warming
Shallow groundwater depth (SGWD) across the non‐permafrost plains of the Qinghai–Xizang Plateau decreased at averagely 0.02 m year−1, adding 31.44 Gt of freshwater storage from 2000 to 2020 and sustaining ∼53 500 km2 of alpine ecosystems. A vadose‐zone capacity of 426.6 Gt reveals these aquifers as promising reservoirs, highlighting groundwater's ...
Jianqing Du +15 more
wiley +1 more source
Random forests with parametric entropy-based information gains for classification and regression problems. [PDF]
Ignatenko V, Surkov A, Koltcov S.
europepmc +1 more source
Artificial Intelligence‐Guided Phenotypic Drug Repurposing Against Streptococcus pneumoniae
Integrated artificial intelligence (AI) ensembles identify highly potent repurposed drugs against Streptococcus pneumoniae. Prospective virtual screening of 6747 drugs uncovers nine active candidates, including thiostrepton. This drug exhibits low picomolar potency and bypasses established resistance in multidrug‐resistant strains, demonstrating an ...
Joshua S. Fitch +6 more
wiley +1 more source
TIPE1m NPs nanoparticles restore TIPE1 expression, promote RAB7A ubiquitination and degradation, suppress autophagic flux, and resensitize paclitaxel‐resistant triple‐negative breast cancer to therapy. ABSTRACT Acquired paclitaxel (PTX) resistance remains a major obstacle in triple‐negative breast cancer (TNBC) treatment.
Wei Hu +9 more
wiley +1 more source
AI-driven discovery of blood xenobiotic biomarkers in neovascular age-related macular degeneration using iterative random forests. [PDF]
Künzel SE +12 more
europepmc +1 more source
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
Exploring the predictors affecting the sense of community of Korean high school students: application of random forests and SHAP. [PDF]
Jang E, Chung H.
europepmc +1 more source
Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. [PDF]
Chan LE +12 more
europepmc +1 more source
Quantifying salinity in calcareous soils through advanced spectroscopic models: A comparative study of random forests and regression techniques across diverse land use systems. [PDF]
Tahmoures M +4 more
europepmc +1 more source

