Results 241 to 250 of about 178,314 (358)

SELP: Semi-supervised evidential label propagation algorithm for graph data clustering

, 2017
Kuang Zhou, Arnaud Martin, Quan Pan, Zhunga Liu   +3 more
openalex   +2 more sources

Engineering of Glioblastoma‐Derived Biomimetic Vesicles and Their Structural and Molecular Features

Advanced Healthcare Materials, EarlyView.
ABSTRACT Biomimetic nanosystems and vesicles have arisen as a novel approach to design vesicular transport systems with diverse therapeutic potential. The ‘biomimetic’ strategy involves the integration of cell membrane components into lipid bilayers, conferring them with biological properties originating from the cell of origin. Until now, most studies
Noelia Hernández‐Lobato, Hanan Abumanhal‐Masarweh, Martí de Cabo, Pablo Guerra, Marilena Hadjidemetriou, Neus Lozano, Kostas Kostarelos   +6 more
wiley   +1 more source

Robust self supervised symmetric nonnegative matrix factorization to the graph clustering. [PDF]

Sci Rep
Ru Y, Gruninger M, Dou Y.
europepmc   +1 more source

The Utility of Graph Clustering of 5S Ribosomal DNA Homoeologs in Plant Allopolyploids, Homoploid Hybrids, and Cryptic Introgressants. [PDF]

Front Plant Sci, 2020
Garcia S, Wendel JF, Borowska-Zuchowska N, Aïnouche M, Kuderova A, Kovarik A.   +5 more
europepmc   +1 more source

Coaxially Electrospun Myocardial dECM‐ Based Nanofibrous Scaffolds Demonstrate Enhanced Cardiomyocyte Biocompatibility

Advanced Healthcare Materials, EarlyView.
Our coaxial electrospinning system is capable of incorporating decellularized myocardial extracellular matrix in a core‐sheath configuration, creating nanofibrous scaffolds. These scaffolds, in turn, support the maintenance of functional cardiomyocytes adhered to the surface of these bioactive scaffolds.
Dhanusha N. Rajapakse, Mahtab Khodadadi, Kiran M. Ali, Suh Hee Cook, Bryson T. Proctor, Tanya Upadhyay, Daxian Zha, Fatema Tuj Jahura, Marziyeh Boosaliki, Jessica M. Gluck   +9 more
wiley   +1 more source

Bioinformatics-led identification of pathophysiological hallmark genes in diabesotension via graph clustering method. [PDF]

J Diabetes Metab Disord
Abdullah-Zawawi MR, Abdul Jalal MI, Afiqah-Aleng N, Kamal-Chinakarppen SJ, Md Shahri NAA, Sulaiman SA, Chin SF, Mohamed-Hussein ZA, Jamal R, Abdul Murad NA.   +9 more
europepmc   +1 more source

Flash Assembloids: A Rapid Biofabrication of a Platform for Modeling Early Glioblastoma Invasion at the Glioblastoma–Brain Organoid Interfaces

Advanced Healthcare Materials, EarlyView.
This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang, Henry Robert Howard, Shihui Chen, Won‐Young Choi, Summer Cao, Arthur Chien, Kevin Zou, Michael Kassiou, Fabien Delerue, Ho Sang Jung, Yeonju Park, Young Mee Jung, Yong‐Dae Kwon, Karrie M. Kiang, Gilberto Ka‐Kit Leung, Ryohichi Sugimura, Ann‐Na Cho, Sang Jin Lee   +17 more
wiley   +1 more source

An edge server placement based on graph clustering in mobile edge computing. [PDF]

Sci Rep
Zhang S, Yu J, Hu M.
europepmc   +1 more source

Enhanced Human Antigen‐Specific B Cell Responses Using In Vitro 3D Tonsil Cultures Containing Stromal Cells

Advanced Healthcare Materials, EarlyView.
We developed a fully human 3D tonsil cell culture system incorporating supportive stromal cells that better sustains and activates immune cells than conventional methods. The model generates stronger, more targeted antibody responses to viral antigens and vaccines, providing a physiologically relevant and entirely human platform for studying immune ...
Maaike V. J. Braham, Marlon de Gast, Liubov Babii, Sabine Kruijer, Theo M. Bestebroer, Mathilde Richard, Mathieu Claireaux, S. Marieke van Ham, Jelle de Wit, Cécile A. C. M. van Els, Anja ten Brinke, Marit J. van Gils   +11 more
wiley   +1 more source

rEMM: Extensible Markov Model for Data Stream Clustering in R

Clustering streams of continuously arriving data has become an important application of data mining in recent years and efficient algorithms have been proposed by several researchers. However, clustering alone neglects the fact that data in a data stream
Michael Hahsler, Margaret H. Dunham
core