Results 71 to 80 of about 114,742 (232)

Non-negative matrix factorization with sparseness constraints

open access: yes, 2004
Non-negative matrix factorization (NMF) is a recently developed technique for finding parts-based, linear representations of non-negative data. Although it has successfully been applied in several applications, it does not always result in parts-based ...
Patrik O. Hoyer, Peter Dayan
core   +1 more source

A Unified Framework for Sparse Non-Negative Least Squares using Multiplicative Updates and the Non-Negative Matrix Factorization Problem

open access: yes, 2018
We study the sparse non-negative least squares (S-NNLS) problem. S-NNLS occurs naturally in a wide variety of applications where an unknown, non-negative quantity must be recovered from linear measurements. We present a unified framework for S-NNLS based
Fedorov, Igor   +5 more
core   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

open access: yesMolecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla   +9 more
wiley   +1 more source

KOMPRESI DAN PENGENALAN CITRA WAJAH DENGAN PENDEKATAN NON-NEGATIVE MATRIX FACTORIZATION [PDF]

open access: yes, 2012
KOMPRESI DAN PENGENALAN CITRA WAJAH DENGAN PENDEKATAN NON-NEGATIVE MATRIX FACTORIZATION - Face recognition, kompresi, Non-negative Matrix Factorization, Principal Component Analysis, Eigenface, Computer ...
BENNY KURNIAWAN USODO, FICTOR   +2 more
core  

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch   +13 more
wiley   +1 more source

Robust Hierarchical Learning for Non-Negative Matrix Factorization With Outliers

open access: yesIEEE Access, 2019
Desirable properties of extensions of non-negative matrix factorization (NMF) include robustness in the presence of noises and outliers, ease of implementation, the guarantee of convergence, operation in an automatic fashion that trades off the balance ...
Yinan Li   +4 more
doaj   +1 more source

Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization [PDF]

open access: yes, 2012
The separability assumption (Donoho & Stodden, 2003; Arora et al., 2012) turns non-negative matrix factorization (NMF) into a tractable problem. Recently, a new class of provably-correct NMF algorithms have emerged under this assumption.
Kambadur, Prabhanjan   +2 more
core  

Somatic mutational landscape in von Hippel–Lindau familial hemangioblastoma

open access: yesMolecular Oncology, EarlyView.
The causes of central nervous system (CNS) hemangioblastoma in Von Hippel–Lindau (vHL) disease are unclear. We used Whole Exome Sequencing (WES) on familial hemangioblastoma to investigate events that underlie tumor development. Our findings suggest that VHL loss creates a permissive environment for tumor formation, while additional alterations ...
Maja Dembic   +5 more
wiley   +1 more source

Primal-Dual Algorithms for Non-negative Matrix Factorization with the Kullback-Leibler Divergence [PDF]

open access: yes, 2014
Non-negative matrix factorization (NMF) approximates a given matrix as a product of two non-negative matrices. Multiplicative algorithms deliver reliable results, but they show slow convergence for high-dimensional data and may be stuck away from local ...
Bach, Francis, Yanez, Felipe
core   +2 more sources

Establishment of a humanized patient‐derived xenograft mouse model of high‐grade serous ovarian cancer for preclinical evaluation of combination immunotherapy

open access: yesMolecular Oncology, EarlyView.
We have established a humanized orthotopic patient‐derived xenograft (Hu‐oPDX) mouse model of high‐grade serous ovarian cancer (HGSOC) that recapitulates human tumor–immune interactions. Using combined anti‐PD‐L1/anti‐CD73 immunotherapy, we demonstrate the model's improved biological relevance and enhanced translational value for preclinical ...
Luka Tandaric   +10 more
wiley   +1 more source

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