Results 81 to 90 of about 304,459 (351)
Bias in O-Information Estimation
EntropyHigher-order relationships are a central concept in the science of complex systems. A popular method of attempting to estimate the higher-order relationships of synergy and redundancy from data is through the O-information. It is an information–theoretic measure composed of Shannon entropy terms that quantifies the balance between redundancy and ...
Johanna Gehlen +9 more
openaire +4 more sources
FEBS Open Bio, EarlyView.Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu +6 more
wiley +1 more source
A chain ratio exponential type estimator in two-phase sampling using auxiliary information
Statistica, 2014 This paper advocates the problem of estimating the population mean of the study variable y using the information on two auxiliary variables x and z. We have suggested the family of chain ratio exponential type estimators in two-phase (or double) sampling.
Rohini Yadav +3 more
doaj +1 more source
Diffusion‐based size determination of solute particles: a method adapted for postsynaptic proteins
FEBS Open Bio, EarlyView.We present a diffusion‐based approach for measuring the size of macromolecules and their complexes, and demonstrate its use on postsynaptic proteins. The method requires fluorescein‐labelled protein samples, a microfluidic device that maintains laminar flow for said samples, a microscope recording the emitted fluorescent signals, and an analytic ...
András László Szabó +7 more
wiley +1 more source
Small Sample Bias Propreties of the System GMM Estimator in Dynamic Panel Data Models [PDF]
This paper examines analytically and experimentally why the system GMM estimator in dynamic panel data models is less biased than the first differencing or the level estimators even though the former uses more instruments.
Kazuhiko Hayakawa
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Jurnal Penelitian dan Evaluasi Pendidikan, 2017 Studi ini menggunakan simulasi Monte Carlo dilakukan untuk melihat pengaruh ukuran sampel dan intraclass correlation coefficients (ICC) terhadap bias estimasi parameter multilevel latent variable modeling.
Muhammad Dwirifqi Kharisma Putra +3 more
doaj +1 more source
The impact of Hnrnpl deficiency on transcriptional patterns of developing muscle cells
FEBS Open Bio, EarlyView.We performed nanopore whole‐transcriptome sequencing comparing RNA from Hnrnpl‐knockdown versus control C2C12 myoblasts to investigate the contributions of Hnrnpl to muscle development. Our results indicate that Hnrnpl regulates the expression of genes involved with Notch signaling and skeletal muscle, particularly splicing patterns of specific muscle ...
Hannah R. Littel +8 more
wiley +1 more source
A new kernel estimator of hazard ratio and its asymptotic mean squared error
, 2016 The hazard function is a ratio of a density and survival function, and it is a basic tool of the survival analysis. In this paper we propose a kernel estimator of the hazard ratio function, which are based on a modification of \'{C}wik and Mielniczuk's ...
Maesono, Yoshihiko, Moriyama, Taku
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Interplay between RNA‐protein interactions and RNA structures in gene regulation
FEBS Open Bio, EarlyView.Methodological advances in mapping transcriptome‐wide RNA‐protein interactions and RNA structures have started to uncover the potential of RNP conformations in gene regulation. Competing RNA–RNA, RNA‐protein and protein–protein interactions shape the compaction and function of RNPs throughout their lifetime and may provide novel therapeutic targets in ...
Jenni Rapakko +2 more
wiley +1 more source
Nonlinear Log-Periodogram Regression for Perturbed Fractional Processes [PDF]
This paper studies fractional processes that may be perturbed by weakly dependent time series. The model for a perturbed fractional process has a components framework in which there may be components of both long and short memory.
Peter C.B. Phillips, Yixiao Sun
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