A Tucson-based cancer biologist is helping lead the development of a new sampling method that can better detect the genetic diversity of tumors using an unlikely tool — a blender. Nelson Alexander, ...

We developed scEpi 2-seq, a single-cell method which jointly profiles DNA methylation and histone modifications from the same DNA molecule. This multi-omic strategy reveals how chromatin context ...

Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from ...

The Ph.D. in educational statistics and research methods (ESRM) prepares students interested in statistics, psychometrics, education measurement, assessment and evaluation to develop, critically ...

Long-range interactions are challenging for machine learning interatomic potentials (MLIPs). Here, authors show that, by just learning from energies and forces, MLIPs can accurately capture ...

Biophysical methods are techniques to study the structure, properties, dynamics or function of biomolecules at an atomic or molecular level. They encompass a range of techniques including microscopy, ...

Focus group Qualitative information provided in the form of opinions, feelings and attitudes Can be difficult to analyse qualitative information Topics can be explored in some depth Expensive Hall ...

Transcriptomics is the study of the transcriptome—the complete set of RNA transcripts that are produced by the genome, under specific circumstances or in a specific cell—using high-throughput methods, ...

INSTAAR conducts interdisciplinary research and education on the past, present, and future of Earth systems in service of a just and thriving world. With deep roots in polar regions, alpine ...

Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...