Drug sensitivity prediction across cancer types using graph isomorphism networks and biological pathway features: A dual-branch deep learning approach. [PDF]
Li S +6 more
europepmc +1 more source
On some perfect matching conjectures in infinite, cubic, bridgeless graphs [PDF]
Paulo Magalhães Júnior +1 more
openalex +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
GRIMM-II: A two-stage real-time algorithm for nine-locus HLA imputation and matching with up to three mismatches. [PDF]
Kirshenboim O +8 more
europepmc +1 more source
Integral bases, perfect matchings, and the Petersen graph [PDF]
Ahmad Abdi, Olha Silina
openalex +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Agreement Between the CerviCARE AI Artificial-Intelligence Software and Visual Inspection with Acetic Acid (VIA) for Cervical Cancer Screening in Women Aged Over 18 Years in Vinh Long Province, Vietnam: A Community-Based Cross-Sectional Study. [PDF]
Ho HTT, Phan TT, Nguyen KT, Nguyen HH.
europepmc +1 more source
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
Comparative analysis using machine learning methods for determination of pharmaceutical solubility in supercritical CO<sub>2</sub> considering physical properties of drugs. [PDF]
Alshahrani SM.
europepmc +1 more source

