Results 61 to 70 of about 112,822 (316)

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Semantic Non-Negative Matrix Factorization for Term Extraction

Big Data and Cognitive Computing
This study introduces an unsupervised term extraction approach that combines non-negative matrix factorization (NMF) with word embeddings. Inspired by a pioneering semantic NMF method that employs regularization to jointly optimize document–word and word–
Aliya Nugumanova, Almas Alzhanov, Aiganym Mansurova, Kamilla Rakhymbek, Yerzhan Baiburin   +4 more
doaj   +1 more source

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

A Robust Manifold Graph Regularized Nonnegative Matrix Factorization Algorithm for Cancer Gene Clustering

Molecules, 2017
Detecting genomes with similar expression patterns using clustering techniques plays an important role in gene expression data analysis. Non-negative matrix factorization (NMF) is an effective method for clustering the analysis of gene expression data ...
Rong Zhu, Jin-Xing Liu, Yuan-Ke Zhang, Ying Guo   +3 more
doaj   +1 more source

Non-negative Matrix Factorization for Binary Data

Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015
We propose the Logistic Non-negative Matrix Factorization for decomposition of binary data. Binary data are frequently generated in e.g. text analysis, sensory data, market basket data etc. A common method for analysing non-negative data is the Non-negative Matrix Factorization, though this is in theory not appropriate for binary data, and thus we ...
Larsen, Jacob Søgaard, Clemmensen, Line Katrine Harder   +1 more
openaire   +3 more sources

Exploring lipid diversity and minimalism to define membrane requirements for synthetic cells

FEBS Letters, EarlyView.
Designing the lipid membrane of synthetic cells is a complex task, in which its various roles (among them solute transport, membrane protein support, and self‐replication) should all be integrated. In this review, we report the latest top‐down and bottom‐up advances and discuss compatibility and complexity issues of current engineering approaches ...
Sergiy Gan, Victoria Scarpelli, Marten Exterkate   +2 more
wiley   +1 more source

Non Negative Matrix Factorization Clustering Capabilities; Application on Multivariate Image Segmentation [PDF]

Journal of Electrical and Electronics Engineering, 2009
The clustering capabilities of the Non Negative MatrixFactorization algorithm is studied. The basis images are consideredlike the data membership degree to a particular class.A hard clustering algorithm is easily derived based on theseimages.
Cosmin Lazar, Danielle Nuzillard, Patrice Billaudel, Sorin Curila   +3 more
doaj  

Infinite Non-Negative Matrix Factorization

, 2010
Publication in the conference proceedings of EUSIPCO, Aalborg, Denmark ...
Mørup, Morten, Schmidt, Mikkel
openaire   +1 more source

Non-negative matrix factorization for medical imaging [PDF]

, 2018
A non-negative matrix factorization approach to dimensionality reduction is proposed to aid classification of images. The original images can be stored as lower-dimensional columns of a matrix that hold degrees of belonging to feature components, so ...
Atencia-Ruiz, Miguel Alejandro, Stoean, Ruxandra   +1 more
core  

C‐mannosylation promotes ADAMTS1 activation and secretion in human testicular germ cell tumor NEC8 cells

FEBS Letters, EarlyView.
C‐mannosylation is a unique form of protein glycosylation. In this study, we demonstrated that ADAMTS1 is C‐mannosylated at Trp562 and Trp565 in human testicular germ cell tumor NEC8 cells. We found that C‐mannosylation of ADAMTS1 is essential for its secretion, processing, enzymatic activity, and ability to promote vasculogenic mimicry. These findings
Takato Kobayashi, Takehiro Suzuki, Ryota Kawahara, Natsumi Harai, Naoshi Dohmae, Siro Simizu   +5 more
wiley   +1 more source