Results 81 to 90 of about 928,791 (254)
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 +12 more
wiley +1 more source
On the existence of non-golden signed graphs
Atti della Accademia Peloritana dei Pericolanti : Classe di Scienze Fisiche, Matematiche e Naturali, 2018 A signed graph is a pair Γ=(G,σ), where G=(V(G), E(G)) is a graph and σ: E(G) → {+1, -1} is the sign function on the edges of G. For a signed graph we consider the least eigenvalue λ(Γ) of the Laplacian matrix defined as L(Γ)=D(G)-A(Γ), where D(G) is the
Maurizio Brunetti
doaj +1 more source
WSGMB: weight signed graph neural network for microbial biomarker identification. [PDF]
Brief Bioinform, 2023 Pan S, Jiang X, Zhang K.
europepmc +1 more source
Signed Graph Representation Learning
, 2023 This thesis considers the research on signed graph representation learning in different aspects. Signed graphs model complex relations using both positive and negative edges and signed graph neural networks (SGNNs) are powerful tools to analyze signed ...
Zhang, Zeyu
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Signed Lp-distance fields [PDF]
, 2012 We introduce and study a family of generalized double-layer potentials which are used to build smooth and accurate approximants for the signed distance function.
Pasko, Alexander +2 more
core +1 more source
Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
Molecular 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
MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis
FEBS Open Bio, EarlyView.MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss +7 more
wiley +1 more source
An upper bound for the Laplacian index of a signed graph [PDF]
Discrete Mathematics Letters, 2021 Farzaneh Ramezani, Zoran Stanic
doaj +1 more source
Whole-Graph Representation Learning for the Classification of Signed Networks
IEEE AccessGraphs are ubiquitous for modeling complex systems involving structured data and relationships. Consequently, graph representation learning, which aims to automatically learn low-dimensional representations of graphs, has drawn a lot of attention in ...
Noe Cecillon +3 more
doaj +1 more source
, 2016 [[abstract]]In this paper we introduced a new notion S-antipodal signed graph of a signed graph and its properties are obtained. Also we give the re- lation between antipodal signed graphs and S-antipodal signed graphs.
P. Siva Kota Reddy, B. Prashanth
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