Background The adoption of whole-genome sequencing in genetic screens has facilitated
the detection of genetic variation in the intronic regions of genes, far from annotated splice …

Background Identifying candidates responsive to treatment is important in lupus nephritis
(LN) at the renal flare (RF) because an effective treatment can lower the risk of progression …

Brain tumor classification plays a critical role in diagnosing and treating patients effectively.
However, the limited availability of annotated data and the complexity of tumor images …

Chromatin accessibility is integral to the process by which transcription factors (TFs) read out
cis-regulatory DNA sequences, but it is difficult to differentiate between TFs that drive …

Bioinformatics has witnessed a paradigm shift with the increasing integration of artificial
intelligence (AI), particularly through the adoption of foundation models (FMs). These AI …

Motivation Single-cell omics technologies have enabled the quantification of molecular
profiles in individual cells at an unparalleled resolution. Deep learning, a rapidly evolving …

Metabolomics, leveraging techniques like NMR and MS, is crucial for understanding
biochemical processes in pathophysiological states. This field, however, faces challenges in …

The Rashomon Effect, coined by Leo Breiman, describes the phenomenon that there exist
many equally good predictive models for the same dataset. This phenomenon happens for …

Background Clinical notes contain contextualized information beyond structured data
related to patients' past and current health status. Objective This study aimed to design a …

The existing deepfake detection methods have reached a bottleneck in generalizing to
unseen forgeries and manipulation approaches. Based on the observation that the deepfake …