Results 101 to 110 of about 837,200 (246)

APOBEC3 activity and DNA polymerase‐ε deficiency are associated with distinct IDH1 R132 hotspot mutations

open access: yesMolecular Oncology, EarlyView.
Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler   +3 more
wiley   +1 more source

A light‐triggered Time‐Resolved X‐ray Solution Scattering (TR‐XSS) workflow with application to protein conformational dynamics

open access: yesFEBS Open Bio, EarlyView.
Time‐resolved X‐ray solution scattering captures how proteins change shape in real time under near‐native conditions. This article presents a practical workflow for light‐triggered TR‐XSS experiments, from data collection to structural refinement. Using a calcium‐transporting membrane protein as an example, the approach can be broadly applied to study ...
Fatemeh Sabzian‐Molaei   +3 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

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS 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

On the existence of non-golden signed graphs

open access: yesAtti 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

ON TRANSINVERSE OF MATRICES AND ITS APPLICATIONS [PDF]

open access: yesJournal of Algebraic Systems
Given a matrix A with elements from a field of characteristic zero, the transin-verse A# of A is defined as the transpose of the matrix obtained by replacing the non-zero elements of A by their inverses and leaving zeros, if any, unchanged.We discuss the
Koombail Shahul Hameed   +1 more
doaj   +1 more source

Malformin A1–mediated cytotoxicity in ovarian cancer cells occurs through pyroptosis and autophagy

open access: yesFEBS Open Bio, EarlyView.
This study investigated the effects of the natural compound Malformin A1 (MA1) on the cytoskeleton that regulates cell proliferation and migration. Disruption of the cytoskeleton can impair these processes and promote cancer cell death. MA1 disrupted cytoskeletal organization, induced DNA damage, inflammation, activated autophagy, and pyroptosis ...
Nada Abdullah Hassan   +11 more
wiley   +1 more source

GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma

open access: yesFEBS Open Bio, EarlyView.
GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain   +11 more
wiley   +1 more source

Whole-Graph Representation Learning for the Classification of Signed Networks

open access: yesIEEE Access
Graphs 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

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