Results 101 to 110 of about 735,632 (298)

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

open access: yesMolecular 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   +5 more
wiley   +1 more source

Signed Graph Convolutional Networks

open access: yes2018 IEEE International Conference on Data Mining (ICDM), 2018
Due to the fact much of today's data can be represented as graphs, there has been a demand for generalizing neural network models for graph data. One recent direction that has shown fruitful results, and therefore growing interest, is the usage of graph convolutional neural networks (GCNs). They have been shown to provide a significant improvement on a
Tyler Derr, Yao Ma 0001, Jiliang Tang
openaire   +3 more sources

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

open access: yesMolecular 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   +12 more
wiley   +1 more source

Signed Quantum Graphs [PDF]

open access: yes
Traditional Graphs, such as weighted graphs, or fuzzy graphs have static edge weights or membership values.These graphs have been widely used to model various complex systems, but they typically do not incorporate dynamicinteractions found in evolving ...
Behzadi, Mohammad Hassan   +4 more
core   +1 more source

Open problems in the spectral theory of signed graphs [PDF]

open access: yes, 2018
Signed graphs are graphs whose edges get a sign +1 or −1 (the signature). Signed graphs can be studied by means of graph matrices extended to signed graphs in a natural way.
Koolen, Jack   +3 more
core   +1 more source

Signed graphs with strong (anti-)reciprocal eigenvalue property

open access: yesSpecial Matrices
A (signed) graph is said to exhibit the strong reciprocal (anti-reciprocal) eigenvalue property (SR) (resp., (-SR)) if for any eigenvalue λ\lambda , it has 1λ\frac{1}{\lambda } (resp.,−1λ-\frac{1}{\lambda }) as an eigenvalue as well, with the same ...
Belardo Francesco, Huntington Callum
doaj   +1 more source

Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer

open access: yesMolecular Oncology, EarlyView.
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau   +9 more
wiley   +1 more source

Radial Signed Graphs

open access: yes, 2016
In this paper we introduced a new notion radial signed graph of a signed graph and its properties are obtained. Also, we obtained the structural characterization of radial signed graphs.
P.Siva Kota Reddy
core   +1 more source

Signed domination numbers of directed graphs [PDF]

open access: yes, 2005
summary:The concept of signed domination number of an undirected graph (introduced by J. E. Dunbar, S. T. Hedetniemi, M. A. Henning and P. J. Slater) is transferred to directed graphs. Exact values are found for particular types of tournaments.
Zelinka, Bohdan
core   +1 more source

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