Results 91 to 100 of about 2,598,126 (331)
Molecular Oncology, EarlyView.This study investigates an alternative approach to reactivating the oncosuppressor p53 in cancer. A short peptide targeting the association of the two p53 inhibitors, MDM2 and MDM4, induces an otherwise therapeutically active p53 with unique features that promote cell death and potentially reduce toxicity towards proliferating nontumor cells.
Sonia Valentini +10 more
wiley +1 more source
Spectrum-based deep neural networks for fraud detection
, 2017 In this paper, we focus on fraud detection on a signed graph with only a small set of labeled training data. We propose a novel framework that combines deep neural networks and spectral graph analysis. In particular, we use the node projection (called as
Li, Jun +3 more
core +1 more source
Flow polynomials of a Signed Graph [PDF]
Electronic Journal of Combinatorics, 2018 For a signed graph $G$ and non-negative integer $d$, it was shown by DeVos et al. that there exists a polynomial $F_d(G,x)$ such that the number of the nowhere-zero $\Gamma$-flows in $G$ equals $F_d(G,x)$ evaluated at $k$ for every Abelian group $\Gamma$
Xiangyu Ren, Jianguo Qian
semanticscholar +1 more source
Molecular Oncology, EarlyView.Low expression of five purine metabolism‐related genes (ADSL, APRT, ADCY3, NME3, NME6) was correlated with poor survival in colorectal cancer. Immunohistochemistry analysis showed that low NME3 (early stage) and low ADSL/NME6 (late stage) levels were associated with high risk.
Sungyeon Kim +8 more
wiley +1 more source
The common minimal dominating signed graph [PDF]
Transactions on Combinatorics, 2012 In this paper, we define the common minimal dominating signedgraph of a given signed graph and offer a structuralcharacterization of common minimal dominating signed graphs. Inthe sequel, we also obtained switching equivalencecharacterizations: $overline{
P. Siva Reddy, B. Prashanth
doaj
Edge-Dual Graph Preserving Sign Prediction for Signed Social Networks
IEEE Access, 2017 Though existing works of sign prediction have reasonable prediction performances, they suffer from the data sparseness problem, especially for the negative link prediction.
Weiwei Yuan +3 more
doaj +1 more source
Molecular Oncology, EarlyView.TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair +17 more
wiley +1 more source
Unlabeled signed graph coloring [PDF]
Rocky Mountain Journal of Mathematics, 2019 11 ...
openaire +4 more sources
Edge coloring signed graphs [PDF]
Discrete Mathematics, 2020 We define a method for edge coloring signed graphs and what it means for such a coloring to be proper. Our method has many desirable properties: it specializes to the usual notion of edge coloring when the signed graph is all-negative, it has a natural definition in terms of vertex coloring of a line graph, and the minimum number of colors required for
openaire +3 more sources
Molecular Oncology, EarlyView.Chronic TGF‐β exposure drives epithelial HCC cells from a senescent state to a TGF‐β resistant mesenchymal phenotype. This transition is characterized by the loss of Smad3‐mediated signaling, escape from senescence, enhanced invasiveness and metastatic potential, and upregulation of key resistance modulators such as MARK1 and GRM8, ultimately promoting
Minenur Kalyoncu +11 more
wiley +1 more source