Results 141 to 150 of about 1,081,758 (246)

A latent class pattern mixture model for nonignorable nonresponses in multivariate categorical data. [PDF]

Comput Stat
Lee J, Sieger ML, Phillips JD.
europepmc   +1 more source

Migraine screen questionnaire: further psychometric evidence from categorical data methods. [PDF]

Health Qual Life Outcomes, 2020
Manzar MD, Hameed UA, Salahuddin M, Khan MYA, Nureye D, Wakene W, Alamri M, Albougami A, PandiPerumal SR, Bahammam AS.   +9 more
europepmc   +1 more source

Translating whole‐genome doubling into precision medicine in cancer

Molecular Oncology, EarlyView.
Whole‐genome doubling creates a WGD‐positive tumor state characterized by persistent chromosomal instability, karyotypic diversification, and cellular stress. These same biological pressures drive aggressive tumor evolution while exposing therapeutic vulnerabilities, providing a rationale for WGD‐informed precision medicine. Whole‐genome doubling (WGD)
Sejung Lee, Junghyeok Lim, Jinhyuk Bhin
wiley   +1 more source

Author Correction: A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. [PDF]

NPJ Digit Med
Zheng Y, Bensahla A, Bjelogrlic M, Zaghir J, Turbe H, Bednarczyk L, Gaudet-Blavignac C, Ehrsam J, Marchand-Maillet S, Lovis C.   +9 more
europepmc   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

A scoping review of self-supervised representation learning for clinical decision making using EHR categorical data. [PDF]

NPJ Digit Med
Zheng Y, Bensahla A, Bjelogrlic M, Zaghir J, Turbe H, Bednarczyk L, Gaudet-Blavignac C, Ehrsam J, Marchand-Maillet S, Lovis C.   +9 more
europepmc   +1 more source

Multiple imputation of longitudinal categorical data through bayesian mixture latent Markov models. [PDF]

J Appl Stat, 2020
Vidotto D, Vermunt JK, Van Deun K.
europepmc   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Nonparametric regression estimator of multivariable Fourier Series for categorical data. [PDF]

MethodsX
Zulfadhli M, Budiantara IN, Ratnasari V.
europepmc   +1 more source

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source