Results 101 to 110 of about 4,243,996 (253)

The newfound relationship between extrachromosomal DNAs and excised signal circles

FEBS Letters, EarlyView.
Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley   +1 more source

Missing data, part 3. How to explore missing data

American Journal of Orthodontics and Dentofacial Orthopedics, 2022
Tra My Pham, Nikolaos Pandis, Ian R. White   +2 more
openaire   +3 more sources

Imputation and Missing Indicators for Handling Missing Longitudinal Data: Data Simulation Analysis Based on Electronic Health Record Data

JMIR Medical Informatics
BackgroundMissing data in electronic health records are highly prevalent and result in analytical concerns such as heterogeneous sources of bias and loss of statistical power.
Molly Ehrig, Garrett S Bullock, Xiaoyan Iris Leng, Nicholas M Pajewski, Jaime Lynn Speiser   +4 more
doaj   +1 more source

How to deal with missing longitudinal data in cost of illness analysis in Alzheimer’s disease—suggestions from the GERAS observational study

BMC Medical Research Methodology, 2016
Background Missing data are a common problem in prospective studies with a long follow-up, and the volume, pattern and reasons for missing data may be relevant when estimating the cost of illness. We aimed to evaluate the effects of different methods for
Mark Belger, Josep Maria Haro, Catherine Reed, Michael Happich, Kristin Kahle-Wrobleski, Josep Maria Argimon, Giuseppe Bruno, Richard Dodel, Roy W Jones, Bruno Vellas, Anders Wimo   +10 more
doaj   +1 more source

An upstream open reading frame regulates expression of the mitochondrial protein Slm35 and mitophagy flux

FEBS Letters, EarlyView.
This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva, Ariann E. Mendoza‐Martínez, P. Abril Medina‐Flores, Carlos Campero‐Basaldua, Alexander DeLuna, Soledad Funes   +5 more
wiley   +1 more source

High-Resolution Downscaling with Interpretable Relevant Vector Machine: Rainfall Prediction for Case Study in Selangor

JOIV: International Journal on Informatics Visualization
Due to the discrepancy in resolution between existing global climate model output and the resolution required by decision-makers, there is a persistent need for climate downscaling.
Raghdah Rasyidah Abdul Rashid, Shazlyn Milleana Shaharudin, Nurul Ainina Filza Sulaiman, Nurul Hila Zainuddin, Hairulnizam Mahdin, Summayah Aimi Mohd Najib, Rahmat Hidayat   +6 more
doaj   +1 more source

Simple descriptive missing data indicators in longitudinal studies with attrition, intermittent missing data and a high number of follow-ups

BMC Research Notes, 2018
Objective Missing data in longitudinal studies may constitute a source of bias. We suggest three simple missing data indicators for the initial phase of getting an overview of the missingness pattern in a dataset with a high number of follow-ups ...
Morten Wærsted, Taran Svenssen Børnick, Jos W. R. Twisk, Kaj Bo Veiersted   +3 more
doaj   +1 more source

In situ molecular organization and heterogeneity of the Legionella Dot/Icm T4SS

FEBS Letters, EarlyView.
We present a nearly complete in situ model of the Legionella Dot/Icm type IV secretion system, revealing its central secretion channel and identifying new components. Using cryo‐electron tomography with AI‐based modeling, our work highlights the structure, variability, and mechanism of this complex nanomachine, advancing understanding of bacterial ...
Przemysław Dutka, Yuxi Liu, Stefano Maggi, Debnath Ghosal, Jue Wang, Prashant P. Damke, Stephen D. Carter, Wei Zhao, Sukhithasri Vijayrajratnam, Joseph P. Vogel, Carrie L. Shaffer, Grant J. Jensen   +11 more
wiley   +1 more source

Improving Missing Data Imputation with Deep Generative Models

, 2019
Datasets with missing values are very common on industry applications, and they can have a negative impact on machine learning models. Recent studies introduced solutions to the problem of imputing missing values based on deep generative models. Previous
Camino, Ramiro D., Hammerschmidt, Christian A., State, Radu   +2 more
core  

Spatial effects with missing data

Open Linguistics
In recent years, there has been an increased attention and interest in quantitative and statistical models of language contact and language diffusion in space.
Naranjo Matías Guzmán, Mertner Miri, Urban Matthias   +2 more
doaj   +1 more source