Results 251 to 260 of about 651,257 (303)
Correlation of the differential expression of PIK3R1 and its spliced variant, p55α, in pan‐cancer
PIK3R1 undergoes alternative splicing to generate the isoforms, p85α and p55α. By combining large patient datasets with laboratory experiments, we show that PIK3R1 spliced variants shape cancer behavior. While tumors lose the protective p85α isoform, p55α is overexpressed, changes linked to poorer survival and more pronounced in African American ...
Ishita Gupta +10 more
wiley +1 more source
FEM Numerical Calculations and Experimental Verification of Extrusion Welding Process of 7075 Aluminium Alloy Tubes. [PDF]
Leśniak D, Laber KB, Madura J.
europepmc +1 more source
SemanticRail3D - A Mobile LiDAR Benchmark for Semantic and Instance Segmentation of Railway Corridors. [PDF]
Ghasemlou A, Soilán M, Riveiro B.
europepmc +1 more source
Personalized biomarkers of multiscale functional alterations in temporal lobe epilepsy. [PDF]
Xie K +24 more
europepmc +1 more source
Bayesian Cost-Effectiveness Analysis Using Individual-Level Data is Sensitive to the Choice of Uniform Priors on the Standard Deviations for Costs in Log-Normal Models. [PDF]
Ling X, Gabrio A, Baio G.
europepmc +1 more source
Detrended Cross-Correlations and Their Random Matrix Limit: An Example from the Cryptocurrency Market. [PDF]
Drożdż S +4 more
europepmc +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Theory of Probability & Its Applications, 2000
The paper presents a new point of view on the Cramér type large deviations \[ P(\xi >x)=(1-\Phi (x))Q\exp(L) \] for the ``right tail'' of the distribution of a random variable \(\xi\). Here \(\Phi (x)\) is a standard normal distribution function, \(Q\) and \(L\) are some quantities depending on \(x\) and \(\xi\).
openaire +2 more sources
The paper presents a new point of view on the Cramér type large deviations \[ P(\xi >x)=(1-\Phi (x))Q\exp(L) \] for the ``right tail'' of the distribution of a random variable \(\xi\). Here \(\Phi (x)\) is a standard normal distribution function, \(Q\) and \(L\) are some quantities depending on \(x\) and \(\xi\).
openaire +2 more sources
Large deviations forU-statistics
Lithuanian Mathematical Journal, 1992Let \(X_ 1, X_ 2, \dots\) be a sequence of independent random variables having common probability distribution \(F\), and let \(\varphi (x_ 1, \dots, x_ m)\) be a function (kernel) assumed (without loss of generality) to be symmetric in its arguments. For each such kernel we consider the associated \(U\)-statistic \[ U_ n={n \choose m}^{-1} \sum_{C_{nm}
openaire +2 more sources

