Results 111 to 120 of about 142,276 (359)
Non-negative matrix factorization based single-channel source-separation of passive underwater acoustic signals in deep sea [PDF]
JASA Express LettersWe use non-negative matrix factorization for source separation on ultra-low frequency passive-acoustic data from a single-channel recording acquired in deep sea.
Jean Lecoulant +2 more
doaj +1 more source
Molecular Oncology, EarlyView.To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
FEBS Open Bio, EarlyView.Representation of the suggested mode of action of lactoferrin (Lf) in nonsmall cell lung cancer (NSCLC) A549 cells. Lf induces activation of caspase‐3 by activating p53 and AChE leading to decreased ACh concentrations. In turn, ACh signaling leads to activation of VEGF and AKT and blocking of caspase‐3.
Stuti Goel +9 more
wiley +1 more source
A Non-Negative Matrix Factorization Approach to Computing “Fingerprints” in Spectra of Nuclear Materials [PDF]
, 2022 Jacob Antici
openalex +1 more source
A Non-Negative Matrix Factorization Game
, 2021 We present a novel game-theoretic formulation of Non-Negative Matrix Factorization (NNMF), a popular data-analysis method with many scientific and engineering applications. The game-theoretic formulation is shown to have favorable scaling and parallelization properties, while retaining reconstruction and convergence performance comparable to the ...
openaire +2 more sources
FEBS Open Bio, EarlyView.CAF‐mediated immunosuppression in ovarian cancer is driven by IDO1, reducing T‐cell function. Inhibiting IDO1 restores T‐cell proliferation and cytotoxicity, increases cancer cell apoptosis, and may help overcome CAF‐induced immune suppression in high‐grade serous ovarian cancer. Targeting IDO1 may improve antitumor immunity.
Hyewon Lee +3 more
wiley +1 more source
Matrix factorization with Binary Components
, 2013 Motivated by an application in computational biology, we consider low-rank matrix factorization with $\{0,1\}$-constraints on one of the factors and optionally convex constraints on the second one.
Hein, Matthias +2 more
core
Linear Projective Non-Negative Matrix Factorization
Research Journal of Applied Sciences, Engineering and Technology, 2013 In order to solve the problem that the basis matrix is usually not very sparse in Non-Negative Matrix Factorization (NMF), a method, called Linear Projective Non-Negative Matrix Factorization (LP-NMF), is proposed. In LP-NMF, from projection and linear transformation angle, an objective function of Frobenius norm is defined. The Taylor series expansion
Lirui Hu, Jianguo Wu, Lei Wang
openaire +1 more source
Homologous expression and purification of human HAX‐1 for structural studies
FEBS Open Bio, EarlyView.This research protocol provides detailed instructions for cloning, expressing, and purifying large quantities of the intrinsically disordered human HAX‐1 protein, N‐terminally fused to a cleavable superfolder GFP, from mammalian cells. HAX‐1 is predicted to undergo posttranslational modifications and to interact with membranes, various cellular ...
Mariana Grieben
wiley +1 more source
Improving drug repositioning accuracy using non-negative matrix tri-factorization
Scientific ReportsDrug repositioning is a transformative approach in drug discovery, offering a pathway to repurpose existing drugs for new therapeutic uses. In this study, we introduce the IDDNMTF model designed to predict drug repositioning opportunities with greater ...
Qingmei Li +3 more
doaj +1 more source