Results 181 to 190 of about 148,252 (303)
RegGAIN is a novel and powerful deep learning framework for inferring gene regulatory networks (GRNs) from single‐cell RNA sequencing data. By integrating self‐supervised contrastive learning with dual‐role gene representations, it consistently outperforms existing methods in both accuracy and robustness.
Qiyuan Guan +9 more
wiley +1 more source
Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices. [PDF]
Hashem AF, Liaqat S, Mufti ZS, Hanif MF.
europepmc +1 more source
On the Topological Indices of Hexagonal Network (HX6), Complete Bi-Partite and Complete Graphs [PDF]
N K Raut
openalex +1 more source
Algebraic and Topological Indices of Molecular Pathway Networks in Human\n Cancers [PDF]
Peter Hinow +2 more
openalex +1 more source
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao +14 more
wiley +1 more source
DFT based structural modeling of chemotherapy drugs via topological indices and curvilinear regression. [PDF]
Saeed F, Idrees N, Imran M.
europepmc +1 more source
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
On statistical analysis of topological indices and heat of formation for titanium diboride network. [PDF]
Ismail R +5 more
europepmc +1 more source
A CoCrFeNiTa0.4 eutectic high‐entropy alloy achieves a near‐theoretical yield strength of 2.6 GPa with 13.6% plasticity. This breakthrough stems from a hierarchical nanostructure (FCC‐Laves lamellae with L12/D022 precipitates), which alleviates the inter‐phase modulus/hardness mismatch through synergistic strengthening and toughening, guiding the ...
Yusha Luo +10 more
wiley +1 more source

