Results 101 to 110 of about 166,786,075 (302)
Optimizing photoactivation of PA‐mCherry for optical pooled CRISPR screens
FEBS Open Bio, EarlyView.Photoactivatable PA‐mCherry finds widespread use to optically tag individual cells. However, confocal 405 nm UV laser‐scanning (normal scan) is much less efficient than widefield UV illumination, limiting the use of PA‐mCherry on confocal instruments. We remedy this limitation by reporting that rapid and repeated confocal scanning with a low‐intensity,
Sravasti Mukherjee +3 more
wiley +1 more source
An information ratio-based goodness-of-fit test for copula models on censored data. [PDF]
Biometrics, 2023 Sun T, Cheng Y, Ding Y.
europepmc +1 more source
Limited and full information estimation and goodness-of-fit testing in 2n contingency tables [PDF]
(WP 14/03 Clave pdf)High-dimensional contingency tables tend to be sparse and standard goodness-of-fit statistics such as X 2 cannot be used without pooling categories.As an improvement on arbitrary pooling, for goodness-of-fit of large 2 n contingency ...
ALBERTO MAYDEU
core
Goodness-of-fit-indices of structural invariance between genders.
, 2019 Goodness-of-fit-indices of structural invariance between genders.
Pedro Duarte-Mendes (6729731) +6 more
core +1 more source
FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Robust correlation coefficient goodness-of-fit test for the Gumbel distribution
Journal of Biostatistics and Epidemiology, 2018 Background & Aim: A single outlier can even have a large disturbing effect on a classical statistical method that is optimal under the classical assumptions.
Abbas Mahdavi
doaj
A goodness-of-fit test based on neural network sieve estimators. [PDF]
Stat Probab Lett, 2021 Shen X, Jiang C, Sakhanenko L, Lu Q.
europepmc +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
FEBS Open Bio, EarlyView.Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
Goodness of fit in models for mortality data [PDF]
, 2008 Mortality data on an aggregate level are characterized by very large sample sizes. For this reason, uninformative outcomes are evident in common Goodness-of-Fit measures.
Camarda, Carlo Giovanni +1 more
core +1 more source
Goodness-of-fit tests for the Compound Rayleigh distribution with application to real data
Heliyon, 2019 An important problem in statistics is to obtain information about the form of the population from which the sample is drawn. Goodness of fit (GOF) tests is employed to determine how well the observed sample data “fits” some proposed model. The well known
Majdah M. Badr
doaj +1 more source