Results 131 to 140 of about 135,346 (336)
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik+3 more
wiley +1 more source
A Global Sampling Based Image Matting Using Non-Negative Matrix Factorization [PDF]
Image matting is a technique in which a foreground is separated from the background of a given image along with the pixel wise opacity. This foreground can then be seamlessly composited in a different background to obtain a novel scene.
NAVEED ALAM+2 more
doaj
Non-negative sparse coding is a method for decomposing multivariate data into non-negative sparse components. In this paper we briefly describe the motivation behind this type of data representation and its relation to standard sparse coding and non ...
Hoyer, Patrik O.
core +2 more sources
Long non‐coding RNAs (lncRNAs) occupy an abundant fraction of the eukaryotic transcriptome and an emerging area in cancer research. Regulation by lncRNAs is based on their subcellular localization in HNSCC. This cartoon shows the various functions of lncRNAs in HNSCC discussed in this review.
Ellen T. Tran+3 more
wiley +1 more source
In this work we use non-negative matrix factorization to identify patterns of microstructural variance in the human hippocampus. We utilize high-resolution structural and diffusion magnetic resonance imaging data from the Human Connectome Project to ...
Raihaan Patel+7 more
doaj
Stem cell‐based embryo models (SCBEMs) are valuable to study early developmental milestones. Matrigel, a basement membrane matrix, is a critical substrate used in various SCBEM protocols, but its role in driving stem cell lineage commitment is not clearly defined.
Atoosa Amel+3 more
wiley +1 more source
Robust Non-Negative Matrix Tri-Factorization with Dual Hyper-Graph Regularization
Non-negative Matrix Factorization (NMF) has been an ideal tool for machine learning. Non-negative Matrix Tri-Factorization (NMTF) is a generalization of NMF that incorporates a third non-negative factorization matrix, and has shown impressive clustering ...
Jiyang Yu+5 more
doaj +1 more source
Unsupervised vocabulary discovery using non-negative matrix factorization with graph regularization [PDF]
Meng Sun, Hugo Van hamme
openalex +1 more source
The impact of frailty syndrome on skeletal muscle histology: preventive effects of exercise
Frailty syndrome exacerbates skeletal muscle degeneration via increased ECM deposition and myofiber loss. This study, using a murine model, demonstrates that endurance exercise attenuates these histopathological alterations, preserving muscle integrity. Findings support exercise as a viable strategy to counteract frailty‐induced musculoskeletal decline
Fujue Ji+3 more
wiley +1 more source
The contrast transfer function (CTF) is an imaging aberration that is a major resolution‐limiting factor in cryo‐electron microscopy (cryo‐EM). Precise CTF estimation is key to overcoming this limitation, but is particularly challenging in cryo‐electron tomography (cryo‐ET) data. Here, we present an approach for using geometric information to assist in
Sagar Khavnekar, William Wan
wiley +1 more source