Results 81 to 90 of about 724,897 (308)
Sparse Regression by Projection and Sparse Discriminant Analysis [PDF]
Journal of Computational and Graphical Statistics, 2015 Recent years have seen active developments of various penalized regression methods, such as LASSO and elastic net, to analyze high dimensional data. In these approaches, the direction and length of the regression coefficients are determined simultaneously.
Qi, Xin +3 more
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Molecular Oncology, EarlyView.In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico +5 more
wiley +1 more source
Advances in the recovery of binary sparse signals [PDF]
, 2019 Recently, the recovery of binary sparse signals from compressed linear systems has received attention due to its several applications. In this contribution, we review the latest results in this framework, that are based on a suitable non-convex ...
Fosson
core
Systems Science & Control EngineeringStochastic configuration network (SCN) is a powerful prediction model whose performance is significantly influenced by the configuration of the network parameters.
Wenhao Fang +4 more
doaj +1 more source
Sparse Recovery with Very Sparse Compressed Counting
CoRR, 2013 Compressed sensing (sparse signal recovery) often encounters nonnegative data (e.g., images). Recently we developed the methodology of using (dense) Compressed Counting for recovering nonnegative K-sparse signals. In this paper, we adopt very sparse Compressed Counting for nonnegative signal recovery.
Ping Li 0001 +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez +5 more
wiley +1 more source
Image Extrapolation Using Sparse Methods
Communications, 2013 Image extrapolation is the specific application in image processing. You have to extrapolate the image for example when you want to process the given image piecewise.
Jan Spirik, Jan Zatyik
doaj +1 more source
FEBS Open Bio, EarlyView.Miniaturized flow chip platform enabling continuous perfusion and longitudinal multiphoton 3D imaging of vascular smooth muscle cell constructs under physiological flow. Brightfield imaging guides region selection, while CellTracker Green and mRuby‐labeled fetuin‐A visualize cells and mineral deposition, respectively. Magnesium supplementation markedly
Vytautas Kučikas +6 more
wiley +1 more source
Reconfiguration on Sparse Graphs [PDF]
Journal of Computer and System Sciences, 2015 A vertex-subset graph problem Q defines which subsets of the vertices of an input graph are feasible solutions. A reconfiguration variant of a vertex-subset problem asks, given two feasible solutions S and T of size k, whether it is possible to transform S into T by a sequence of vertex additions and deletions such that each intermediate set is also a ...
Daniel Lokshtanov +4 more
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FEBS Open Bio, EarlyView.KDAC6 has been associated with cell motility and actin structures, but specific domain contributions are not established. The two catalytic domains have differential effects on motility and F‐actin regulation, affecting cortical F‐actin density, motility, stress fibers, and cell spreading.
Taylor V. Joseph +7 more
wiley +1 more source