With the development of high-throughput biological techniques, high-dimensional omics
data have emerged. These molecular data provide a solid foundation for precision medicine …

Introduction Proteins are crucial for every cellular activity and unraveling their sequence and
structure is a crucial step to fully understand their biology. Early methods of protein …

Radiomics is an emerging field of medical image analysis research where quantitative
measurements are obtained from radiological images that can be utilized to predict patient …

Federated learning is becoming increasingly more popular as the concern of privacy
breaches rises across disciplines including the biological and biomedical fields. The main …

Introduction With available genomic data and related information, it is becoming possible to
better highlight mutations or genomic alterations associated with a particular disease or …

The successful development and implementation of precision immuno-oncology therapies
requires a deeper understanding of the immune architecture at a patient level. T-cell …

Functional concurrent, or varying-coefficient, regression models are a form of functional data
analysis methods in which functional covariates and outcomes are collected concurrently …

How does the genetic architecture of quantitative traits evolve over time? Answering this
question is crucial for many applied fields such as human genetics and plant or animal …

In this document we discuss the linear constraints imposed to enforce identifiability of the
parameters (Section 1) and the choice of hyperparameters and spline bases (Section 2), we …

Proteomics is a data-rich science with complex experimental designs and an intricate
measurement process. To obtain insights from the large data sets produced, statistical …