A Pragmatic Ensemble Strategy for Missing Values Imputation in Health Records. [PDF]
Batra S +5 more
europepmc +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
Using item response theory as a methodology to impute categorical missing values. [PDF]
Kline A, Luo Y.
europepmc +1 more source
Benchmarking missing-values approaches for predictive models on health databases. [PDF]
Perez-Lebel A +4 more
europepmc +1 more source
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise +5 more
wiley +1 more source
Imputing missing values in single-cell RNA-sequencing data: a statistical and machine learning-based approach. [PDF]
Shamsuzzaman AFM, Ray S, Mukhopadhyay A.
europepmc +1 more source
A self-supervised learning-based approach to clustering multivariate time-series data with missing values (SLAC-Time): An application to TBI phenotyping. [PDF]
Ghaderi H +5 more
europepmc +1 more source
Leucine‐rich glioma inactivated 1 (LGI1) is a ganglioside‐binding protein
Neuronal hyperexcitability associated with a decrease/absence of the extracellular protein LGI1 has been suggested to be primarily due to the downregulation of Kv1 channel expression. The molecular mechanisms underlying this decrease have not yet been elucidated.
Kévin Debreux +7 more
wiley +1 more source
Semiparametric Regression Analysis under Imputation for Missing Response Data [PDF]
We develop inference tools in a semiparametric regression model with missing response data. A semiparametric regression imputation estimator, a marginal average estimator and a (marginal) propensity score weighted estimator are defined.
Qihua Wang +2 more
core
Multiple imputation for missing values in ordinal variables from cancer registry data when performing Cox proportional hazards regression. [PDF]
Kästner A +4 more
europepmc +1 more source

