Results 131 to 140 of about 313,820 (280)
ImputeBench: Benchmarking Single Imputation Methods
AbstractBiomedical data often contain missing values and in many applications missing value imputation (MVI) is an important part of the data analysis work-flow. However, the performance of MVI methods depends on details of the joint distribution of data and missingness patterns that are typically unknown in practice, making ana priorichoice of MVI ...
Robin Richter +4 more
openaire +1 more source
Quantum Electrometry of Non‐Volatile Space Charges in Diamond
Charges are generated when nitrogen vacancy qubits in diamond are illuminated by light. Transport and trapping in an electric field leads to the formation of large, stable space charge patterns that dynamically screen applied electric fields, impacting electric field sensing and photoelectric detection.
Russell M Goldblatt +4 more
wiley +1 more source
Benchmarking imputation methods for categorical biological data
Trait datasets are at the basis of a large share of ecology and evolutionary research, being used to infer ancestral morphologies, quantify species extinction risks, or evaluate the functional diversity of biological communities. These datasets, however,
Matthieu Gendre +3 more
doaj +1 more source
EVALUATING ALTERNATIVE METHODS OF DEALING WITH MISSING OBSERVATIONS - AN ECONOMIC APPLICATION [PDF]
This paper compares methods to remedy missing value problems in survey data. The commonly used methods to deal with this issue are to delete observations that have missing values (case-deletion), replace missing values with sample mean (mean imputation),
Onozaka, Yuko
core +1 more source
This study presents a machine‐learning framework entitled MERLIN that infers the microanatomical localization of macrophages from single‐cell transcriptomic data in structured organs such as the kidney and brain. Applying this method to existing datasets from models of acute kidney injury and diabetic nephropathy uncovered spatially resolved insights ...
Junping Yin +18 more
wiley +1 more source
Genotype imputation estimates the genotypes of unobserved variants using the genotype data of other observed variants based on a collection of haplotypes for thousands of individuals, which is known as a haplotype reference panel.
Kaname Kojima +6 more
doaj
Aldosterone‐producing adenomas (APAs) develop via two distinct paths: directly from adrenal zona glomerulosa (zG) cells, or stepwise from zG cells through aldosterone‐producing micronodules (APMs) before progressing to APAs. Advanced single‐cell and spatial analyses identified distinct cell states linked to oxidative stress and cell–cell interactions ...
Zhuolun Sun +7 more
wiley +1 more source
Background Missing data is a common challenge in structured datasets, and numerous methods are available for imputing these missing values. While all of these imputation methods address the issue of incomplete data, it is important to note that some ...
Marziyeh Afkanpour +3 more
doaj +1 more source
A Mussel‐Inspired Bioadhesive Patch to Selectively Kill Glioblastoma Cells
An innovative mussel‐inspired bioadhesive patch has been developed for post‐surgical glioblastoma treatment. The patch, which adheres strongly in biological environments, releases a localized treatment. This treatment, acting via reactive oxygen species, shows specific toxicity to glioblastoma cells.
Jose Bolaños‐Cardet +5 more
wiley +1 more source
Applying multiple imputation on waterbird census data. Comparing two imputation methods. [PDF]
Onkelinx, Thierry +2 more
openaire +1 more source

