Search results for " sml"

showing 2 items of 2 documents

Super-resolution binding activated localization microscopy through reversible change of DNA conformation

2018

ABSTRACT Methods of super-resolving light microscopy (SRM) have found an exponentially growing range of applications in cell biology, including nuclear structure analyses. Recent developments have proven that Single Molecule Localization Microscopy (SMLM), a type of SRM, is particularly useful for enhanced spatial analysis of the cell nucleus due to its highest resolving capability combined with very specific fluorescent labeling. In this commentary we offer a brief review of the latest methodological development in the field of SMLM of chromatin designated DNA Structure Fluctuation Assisted Binding Activated Localization Microscopy (abbreviated as fBALM) as well as its potential future app…

0301 basic medicineSingle molecule localization03 medical and health scienceschemistry.chemical_compound0302 clinical medicinesuper-resolution microscopyMicroscopyfBALMmedicineSMLMsingle molecule localizationCell NucleusBinding SitesSuper-resolution microscopyExtra ViewnucleusDNACell BiologySuperresolutionSingle Molecule ImagingChromatinfBALM SMLMCell nucleus030104 developmental biologymedicine.anatomical_structurechemistry030220 oncology & carcinogenesisBiophysicschromatinNucleic Acid ConformationNucleusDNANucleus
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SNP and SML estimation of univariate and bivariate binary–choice models

2008

We discuss the semi-nonparametric approach of Gallant and Nychka (1987, Econometrica 55: 363–390), the semiparametric maximum likelihood approach of Klein and Spady (1993, Econometrica 61: 387–421), and a set of new Stata commands for semiparametric estimation of three binary-choice models. The first is a univariate model, while the second and the third are bivariate models without and with sample selection, respectively. The proposed estimators are root-n consistent and asymptotically normal for the model parameters of interest under weak assumptions on the distribution of the underlying error terms. Our Monte Carlo simulations suggest that the efficiency losses of the semi-nonparametric a…

st0000 snp snp2 snp2s sml sml2s binary-choice models seminonparametric approach SNP estimation semiparametric maximum likelihood SML estimation Monte Carlo simulationSettore SECS-P/05 - EconometriaSettore SECS-P/01 - Economia Politica
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