Papers in this series provide tutorials on statistical methods that are used in precision oncology, such as methods in discovery phase, diagnostics, and drug development. The goal of the series is to ...
Precision oncology exploits genomic, immunologic, and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. Precision oncology helps devise individualized ...
AZoLifeSciences on MSN
Advanced Statistical Method Reduces Noise in Single-Cell RNA-Sequencing Data
The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular ...
Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback