Inference of Genetic Networks from Pseudo Time Series of Single-cell Gene Expression Data using Modified Random Forests. [PDF]
Kimura S +4 more
europepmc +1 more source
Exploitation of surrogate variables in random forests for unbiased analysis of mutual impact and importance of features. [PDF]
Voges LF, Jarren LC, Seifert S.
europepmc +1 more source
An integrated computational screening strategy identified ursolic acid (UA) and 18β‐glycyrrhetinic acid (18βGA) as a self‐assembling food‐derived molecular pair. The resulting carrier‐free nanoparticles (UA‐18βGA) showed synergistic antiparasitic activity, reduced combined toxicity, and host‐protective anti‐inflammatory effects in zebrafish and murine ...
Shenye Qu +8 more
wiley +1 more source
Application of Logistic Regression and Random Forests to Assess the Relevance of Chrononutrition Information for Prediction of Overweight in Adults: Evidence from the INRAN-SCAI 2005-2006 Italian Nutrition Survey. [PDF]
Bartoszek K, Almoosawi S, Palla L.
europepmc +1 more source
Retracted: An Auxiliary Scoring Model for Patients with Acute Pulmonary Embolism Complicated with Atrial Fibrillation Was Established Based on Random Forests. [PDF]
International EM.
europepmc +1 more source
We developed a RhPd‐H nanozyme that integrates enhanced POD‐mimetic catalytic activity with thermally triggered H2 release. H2 shields and reprograms mitochondria to continuously leak endogenous ·O2−. This dual‐path ROS spatially and temporally disrupts redox homeostasis, inducing persistent oxidative stress for tumor suppression and antitumor immunity,
Mingfan Shi +12 more
wiley +1 more source
Exploring the spatiotemporal influence of climate on American avian migration with random forests. [PDF]
Bick IA +4 more
europepmc +1 more source
Methodological proposal to identify the nationality of Twitter users through random-forests. [PDF]
Quijano D, Gil-Herrera R.
europepmc +1 more source
Recent research addresses the problem of data-stream mining to deal with applications that require processing huge amounts of data such as sensor data analysis and financial applications. Data-stream mining algorithms incorporate special provisions to meet the requirements of stream-management systems, that is stream algorithms must be online and ...
openaire +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source

