Results 131 to 140 of about 3,562,975 (305)

On the use of certain matrix algebras associated with trigonometric transforms in matrix displacement decomposition

, 1995
The authors extend some recent results of Di Fiore and Zellini [Linear Algebra Appl., to appear], obtaining new classes of formulas for the displacement operator-based decomposition of matrices. It is shown how an arbitrary matrix can be expressed as the
Bozzo, E, Di Fiore, C, DI FIORE C., DI FIORE, CARMINE, BOZZO, Enrico   +4 more
core   +1 more source

Targeting the EpCAM‐AXL axis to overcome drug resistance in lung cancer

Molecular Oncology, EarlyView.
Lung cancer cells often evade therapy by hijacking signaling pathways. We reveal that cleaved EpCAM (sEpCAM) stabilizes the oncogenic protein AXL, driving NF‐κB and STAT3‐mediated chemoresistance. This EpCAM‐AXL axis identifies a high‐risk patient subset with poor prognosis.
Alexa Guerrero‐Alba, Mark Shacker, Timothy P. Fleming, Michael A. Smith, Ross M. Bremner, Narendra V. Sankpal   +5 more
wiley   +1 more source

Exploration and Analysis of a Method for Estimating the Rank of a Matrix

, 2007
The singular value decomposition (SVD) provides important information about a matrix and its rank, including its singular values and singular vectors.
Orlowski, Nicholas Richard
core  

Graph Regularized Non-negative Matrix Factorization for Data Representation [PDF]

, 2008
Recently Non-negative Matrix Factorization (NMF) has received a lot of attentions in information retrieval, computer vision and pattern recognition. NMF aims to find two non-negative matrices whose product can well approximate the original matrix.
Han, Jiawei, Cai, Deng, He, Xiaofei
core  

Characterization of therapeutic antibodies targeting lymphatic and vascular resistance factor for the treatment of hypervascularized and highly metastatic cancers

Molecular Oncology, EarlyView.
LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David, Arthur Karaulic, Audrey Bennetot, Clémence Fournier, Quentin Odet, Arthur Gouraud, Isabelle Bourget, Cédric Gaggioli, Sandy Giuliano, Frédéric Luciano, Olivier Léger, Zaki Sellam, Gilles Pagès   +12 more
wiley   +1 more source

Spectral-Based SPD Matrix Representation for Signal Detection Using a Deep Neutral Network. [PDF]

Entropy (Basel), 2020
Wang J, Hua X, Zeng X.
europepmc   +1 more source

Matrix representable SO-rings

Semigroup Forum, 1993
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Computing Generalized Inverse Systems using Matrix Pencil Methods [PDF]

, 2001
We address the numerically reliable computation of generalized inverses of rational matrices in descriptor state-space representation. We put particular emphasis on two classes of inverses: the weak generalized inverse and the Moore-Penrose pseudoinverse.
Varga, A., Varga, Andras
core   +1 more source

The multifaceted roles of lysosomes in cancer

Molecular Oncology, EarlyView.
Lysosomes support cancer cell adaptation by integrating macromolecule degradation and nutrient recycling with nutrient sensing, inter‐organelle communication and immune regulation. These interconnected functions can promote tumour growth, stress tolerance and therapy resistance, while also creating context‐dependent vulnerabilities that may be ...
Jia Li, Kevin M. Ryan
wiley   +1 more source

Spectral Convolution Feature-Based SPD Matrix Representation for Signal Detection Using a Deep Neural Network. [PDF]

Entropy (Basel), 2020
Wang J, Liu M, Zeng X, Hua X.
europepmc   +1 more source