Results 151 to 160 of about 156,516 (263)
A graph clustering algorithm with hypergraph learning and a core-attachment strategy for protein complex identification. [PDF]
Wang J, Yang X, Yang P, Yang J, Miao Y.
europepmc +1 more source
P4bm framework in NaNbO3‐Ba(Ti, Hf)O3 ferrodistortive relaxor entails short‐range and highly‐polar ferrodistortive orders. The abundant highly‐polar orders facilitate to increase entropy change, and robust octahedral oxygen tilt enables to impede thermal perturbations.
Feng Li +11 more
wiley +1 more source
Prototype based contrastive graph clustering network for reducing false negatives. [PDF]
Ma C +5 more
europepmc +1 more source
A swelling‐programmed micropatterned hydrogel guides adherent cells through a controlled transition from cell–matrix anchoring to cadherin‐mediated cell–cell compaction, enabling rapid assembly of high‐viability spheroids with defined size and morphology.
Han Gyeol Nam +8 more
wiley +1 more source
An intrinsic photoactive star‐shaped zinc phtalocyanine‐poly(L‐glutamic acid) (ZnPc‐PGA) nanoplatform for multimodal glioblastoma (GBM) therapy and brain‐targeted elivery. A ZnPc‐PGA‐based multifunctional theranostic nanocarrier platform enables image‐guided, multimodal GBM therapy. ZnPc‐PGA nanocarriers support the integration of fluorescence imaging,
Amina Benaicha‐Fernández +14 more
wiley +1 more source
Differentiable graph clustering with structural grouping for single-cell RNA-seq data. [PDF]
Yan X, Du S, Zou Q, Tian Z.
europepmc +1 more source
An Effective Graph Clustering Method to Identify Cancer Driver Modules. [PDF]
Zhang W +4 more
europepmc +1 more source
Geometry‐driven design of soft cellular metamaterials is systematically investigated by combining experiments, finite element modeling, and statistical prediction. The study quantifies how unit cell geometry and material properties govern stiffness, instability, densification, and energy absorption.
Alice Berardo +4 more
wiley +1 more source
Clustering is an important unsupervised learning technique in machine learning and artificial intelligence.Clustering algorithms can uncover latent structures and patterns from unlabeled data, and provide strong support for subsequent data analysis ...
GAO Hai-Yan, HE Wen-Hui
doaj
Subphenotyping sepsis based on organ interaction trajectory using a deep temporal graph clustering model: a retrospective cohort study. [PDF]
Feng X +7 more
europepmc +1 more source

