Results 81 to 90 of about 461,322 (309)
Matrix of Orthogonalized Atomic Orbital Coefficients Representation for Radicals and Ions
Chemical (molecular, quantum) machine learning relies on representing molecules in unique and informative ways. Here, we present matrix of orthogonalized atomic orbital coefficients (MAOC) as a quantum-inspired molecular and atomic representation ...
Stiv, Llenga, Ganna, Gryn\u27ova
core +1 more source
Matrix Representation of Capacity-Based Multicriteria Decision Analysis
Matrix algebra is an efficient way to represent the relationship between different concepts in the multiple criteria decision analysis theory. The main purpose of this paper is to provide a compact and systematic representation of the capacities and ...
Rui-Jie Xi, Jian-Zhang Wu, Gleb Beliakov
doaj +1 more source
COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source
Sparse Matrix Representation for Web Opinions
Due to the advancement of Web 2.0 technologies, a large volume of Web opinions is available on social media sites such as Web forums and Weblogs. These technologies provide a platform for Internet users around the world to communicate with each other and
Dileep kumar B R +1 more
core
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau +36 more
wiley +1 more source
Smooth Non-negative Low-Rank Graph Representation for Clustering [PDF]
The existing low-rank graph representation algorithms fail to capture the global representation structure of data accurately, and cannot make full use of the valid information of data to guide the construction of the representation graph, then the ...
QIAN Luoxiong, CHEN Mei, ZHANG Chi, ZHANG Jinhong, MA Xueyan
doaj +1 more source
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang +12 more
wiley +1 more source
NIMFA: A Python Library for Nonnegative Matrix Factorization [PDF]
NIMFA is an open-source Python library that provides a unified interface to nonnegative matrix factorization algorithms. It includes implementations of state-of-the-art factorization methods, initialization approaches, and quality scoring.
Zupan, Blaz, Zitnik, Marinka
core
Ringel CM. Report on the Brauer-Thrall conjectures: Rojter's theorem and the theorem of Nazarova and Rojter (on algorithms for solving vectorspace problems. I). In: Dlab V, Gabriel P, eds. Representation Theory I.
Dlab, Vlastimil +3 more
core +1 more source
Infinite Matrix Products and the Representation of the Matrix Gamma Function
We introduce infinite matrix products including some of their main properties and convergence results. We apply them in order to extend to the matrix scenario the definition of the scalar gamma function given by an infinite product due to Weierstrass.
J.-C. Cortés +3 more
doaj +1 more source

