Results 61 to 70 of about 142,276 (359)

Onto Proximality in Non Negative Matrix Factorization for Recommender Systems

IEEE Access
Recommender Systems have become integral to most e-commerce applications and online platforms. The recommended suggestions heavily impact customer retention and business performance.
Rachana Mehta, Shakti Mishra, Snehanshu Saha   +2 more
doaj   +1 more source

Hematopoietic (stem) cells—The elixir of life?

FEBS Letters, EarlyView.
The aging of HSCs (hematopoietic stem cells) and the blood system leads to the decline of other organs. Rejuvenating aged HSCs improves the function of the blood system, slowing the aging of the heart, kidney, brain, and liver, and the occurrence of age‐related diseases.
Emilie L. Cerezo, Jonah Anderson, Emilie Dinh Vedrenne, Noël Yeh Martín, Jette Lengefeld   +4 more
wiley   +1 more source

Non-Negative Tensor Factorization Applied to Music Genre Classification [PDF]

, 2010
Music genre classification techniques are typically applied to the data matrix whose columns are the feature vectors extracted from music recordings.
Benetos, E., Kotropoulos, C.
core   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

Cell density–dependent nuclear‐cytoplasmic shuttling of SETDB1 integrates with Hippo signaling to regulate YAP1‐mediated transcription

FEBS Letters, EarlyView.
At low cell density, SETDB1 and YAP1 accumulate in the nucleus. As cell density increases, the Hippo pathway is gradually activated, and SETDB1 is associated with increased YAP1 phosphorylation. At high cell density, phosphorylated YAP1 is sequestered in the cytoplasm, while SETDB1 becomes polyubiquitinated and degraded by the ubiquitin–proteasome ...
Jaemin Eom, Jaewoong Jang, Jung Sun Park, Yong‐Kook Kang   +3 more
wiley   +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  

Binary Orthogonal Non-negative Matrix Factorization

, 2023
We propose a method for computing binary orthogonal non-negative matrix factorization (BONMF) for clustering and classification. The method is tested on several representative real-world data sets. The numerical results confirm that the method has improved accuracy compared to the related techniques.
Sajad Fathi Hafshejani, Daya Gaur, Shahadat Hossain, Robert Benkoczi   +3 more
openaire   +2 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 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

Hessian Regularization Based Factorization Algorithm Combining Multi-view and Non-negative Matrix [PDF]

Jisuanji gongcheng, 2017
Non-negative matrix does not consider the manifold of data when represents multi-view data,which results in the ineffective express of the data internal expression.In this paper,Hessian regularized Non-negative Matrix Factorization(NMF) is proposed.By ...
WANG Chaofeng,SHI Jun,WU Jinjie,ZHU Jie
doaj   +1 more source