Results 51 to 60 of about 129,549 (262)
Pixel-Level Algorithms for Drawing Curves
, 2011 This paper introduces new pixel level algorithms for parametric curves. The optimal value of the steps is first derived when rastrerizing parametric curves.
Mongus, Domen +5 more
core +1 more source
Molecular Oncology, EarlyView.We analyze cisplatin–DNA adducts (CDAs) and double‐strand breaks (DSBs) in a cell‐cycle‐dependent manner. We find that CDAs form similarly across all cell cycle phases. DSBs arise only in S‐phase. CDAs might not directly impair DSB repair, but S‐phase DSB lesions evolve in the presence of CDAs and disrupt repair in G2, also causing radiosensitization ...
Ye Qiu +10 more
wiley +1 more source
Lang–Trotter and Sato–Tate distributions in single and double parametric families of elliptic curves
, 2015 We obtain new results concerning the Lang–Trotter conjectures on Frobenius traces and Frobenius fields over single and double parametric families of elliptic curves. We also obtain similar results with respect to the Sato–Tate conjecture.
Shparlinski, I. +3 more
core +1 more source
Molecular Oncology, EarlyView.CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
Non Parametric Confidence Intervals for Receiver Operating Characteristic Curves [PDF]
We study methods for constructing confidence intervals, and confidence bands, for estimators of receiver operating characteristics. Particular emphasis is placed on the way in which smoothing should be implemented, when estimating either the ...
Rob J. Hyndman, Yanan Fan, Peter G. Hall
core
An intelligent approach to discrete sampling of parametric curves
, 1993 In graphics and animation applications, two of the problems are: (1) representation of an analytic curve by a discrete set of sampled points and (2) determining the similarity between two parametric curves.
Chaman L. Sabharwal, Sabharwal, Chaman
core +1 more source
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
An Improved Method for Bandwidth Selection when Estimating ROC Curves [PDF]
The receiver operating characteristic (ROC) curve is used to describe the performance of a diagnostic test which classifies observations into two groups.
Peter Hall, Rob J. Hyndman
core
Genetic and environmental smoothing of lactation curves with cubic splines [PDF]
, 1999 Most approaches to modeling lactation curves involve parametric curves with fixed or random coefficients. In either case, the resulting models require the specification of an underlying parametric curve. The fitting of splines represents a semiparametric
Brotherstone, S. +2 more
core +1 more source
Semi-parametric estimates and quadratic fits for nonfood Engel curves.
, 2021 Semi-parametric estimates and quadratic fits for nonfood Engel curves.
Suzan Abdel-Rahman (11307751) +2 more
core +1 more source