Results 81 to 90 of about 5,161,693 (301)
Fundamental Boolean network modelling for childhood acute lymphoblastic leukaemia pathways
Quantitative Biology, 2022 Background A novel data‐driven Boolean model, namely, the fundamental Boolean model (FBM), has been proposed to draw genetic regulatory insights into gene activation, inhibition, and protein decay, published in 2018.
Leshi Chen +2 more
doaj +1 more source
Inference in Graded Bayesian Networks
CoRR, 2018 Machine learning provides algorithms that can learn from data and make inferences or predictions on data. Bayesian networks are a class of graphical models that allow to represent a collection of random variables and their condititional dependencies by directed acyclic graphs.
Robert Leppert, Karl-Heinz Zimmermann
openaire +2 more sources
Lysyl oxidase (LOX)‐mediated remodeling of the extracellular matrix
FEBS Letters, EarlyView.The lysyl oxidase (LOX) family of enzymes drives extracellular matrix remodeling by oxidizing collagen, elastin, and fibronectin, promoting covalent cross‐link formation. This activity regulates tissue architecture and mechanical properties, while its dysregulation contributes to fibrosis, cardiovascular disease, glaucoma, connective tissue disorders ...
Fernando Rodríguez‐Pascual +3 more
wiley +1 more source
WINA: Weighted Network Inference
, 2016 <p>WINA: Weighted Network Inference</p> <p>Please use a more recent version available at doi:10.7303/syn7221264.2</p ...
Minghui Wang, Bin Zhang
core +1 more source
Quantifying the Variability in Resting-State Networks
Entropy, 2019 Recent precision functional mapping of individual human brains has shown that individual brain organization is qualitatively different from group average estimates and that individuals exhibit distinct brain network topologies.
Isaura Oliver +3 more
doaj +1 more source
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
FEBS Letters, EarlyView.The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Performances on the DREAM5 Network Inference Challenge.
, 2013 Performances on the DREAM5 Network Inference Challenge.
Tong Zhou (3770), Jie Xiong (138164)
core +1 more source
Generalized Preference Learning for Trust Network Inference
IEEE Access, 2019 Trust inference is essential in a plethora of data mining and machine learning applications. Unfortunately, conventional approaches to trust inference assume trust networks are available, while in practice they must be derived from social network ...
Domenico Mandaglio, Andrea Tagarelli
doaj +1 more source
How structural disorder and polyelectrolyte properties of prothymosin α enable its large interactome
FEBS Letters, EarlyView.In this review, complexes of the fully disordered and highly negatively charged prothymosin α are collected, described, and discussed. Linked to its poly‐electrostatic character, prothymosin α engages a large interactome through multiple different binding modes ranging from fully disordered complexes to short linear motif (SLiM)‐driven interactions ...
Ketty C. Tamburrini +3 more
wiley +1 more source
Hijacking emergency granulopoiesis: Neutrophil ontogeny and reprogramming in cancer
Molecular Oncology, EarlyView.Neutrophils are highly plastic innate immune cells; their functions in cancer extend beyond the tumour microenvironment. This Review summarises current understanding of neutrophil maturation and heterogeneity and highlights tumour‐induced granulopoiesis as a systemic programme that expands immature, immunosuppressive neutrophils via tumour‐derived ...
Gabriela Marinescu, Yi Feng
wiley +1 more source