Results 101 to 110 of about 98,219 (279)

Inferring Gene Regulatory Networks From Single‐Cell RNA Sequencing Data by Dual‐Role Graph Contrastive Learning

Advanced Science, EarlyView.
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, Jiating Yu, Jieyi Pan, Fan Yuan, Jiadong Ji, Rusong Zhao, Zhi‐Ping Liu, Bingqiang Liu, Ling‐Yun Wu, Duanchen Sun   +9 more
wiley   +1 more source

Contiguity relations of generalized confluent hypergeometric functions [PDF]

, 1993
Yoshishige Haraoka, Hironobu Kimura
openalex   +1 more source

Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D

Advanced Science, EarlyView.
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

The Clausenian hypergeometric function3F2with unit argument and negative integral parameter differences [PDF]

, 2015
M. A. Shpot, H. M. Srivastava
openalex   +1 more source

Macrophage–Derived Ferritin Exacerbates Silica‐Induced Pulmonary Fibrosis via PIK3R2‐Mediated Fibroblast Differentiation

Advanced Science, EarlyView.
This study identifies ferritin as a pivotal mediator of silica‐induced pulmonary fibrosis. Macrophage‐derived ferritin drives fibroblast‐to‐myofibroblast differentiation via the PIK3R2/SMAD pathway, while ferritin knockdown alleviates fibrosis. These findings define ferritin as both a biomarker and pathogenic driver, highlighting ferritin‐PIK3R2 ...
Liqun Wang, Xuxi Chen, Hongying Quan, Rui Qian, Shuyu Gong, Qiurong He, Ying Gao, Ajia Axi, Manyu Zhao, Qin Zhang, Ling Zhang, Lijun Peng, Xin Sun, Ben Zhang, Yuqin Yao   +14 more
wiley   +1 more source

Uniformly convergent expansions for the generalized hypergeometric functions _p–1F_p and _pF_p

, 2020
José L. López, Pedro J. Pagola, Dmitrii Karp   +2 more
openalex   +2 more sources

Gauss hypergeometric function: reduction, ε-expansion for integer/half-integer parameters and Feynman diagrams [PDF]

, 2006
M.Yu. Kalmykov
openalex   +1 more source

Evaluation of some non-elementary integrals involving the generalized hypergeometric function with some applications [PDF]

, 2020
Victor Nijimbere
openalex   +1 more source

Creating Cell‐Based Hybrid Noodles for Sustainable and Nutrient‐Balanced Diets via a Serum‐Free and Animal‐Free 3D Co‐Differentiation System

Advanced Science, EarlyView.
This study develops a 3D co‐culture and co‐differentiation system for porcine muscle stem cells (pMuSCs) and mesenchymal stem cells (pMSCs) on edible starch‐based scaffolds. The system simultaneously generates myotubes and adipocytes without using serum or chemical inducers.
Xin Guan, Luyi Wang, Wanqiang Sun, Yiwei Feng, Dandan Wang, Haohao Tang, Zhenwu Ma, Guocheng Du, Jian Chen, Jingwen Zhou   +9 more
wiley   +1 more source

INTEGRAL REPRESENTATIONS FOR SRIVASTAVA'S HYPERGEOMETRIC FUNCTION H_A [PDF]

, 2012
Junesang Choi, Anvar Hasanov, Mamasali Turaev   +2 more
openalex   +1 more source