Transformer models have emerged as pivotal tools within the realm of drug discovery,
distinguished by their unique architectural features and exceptional performance in …

DNA methylation is a fundamental epigenetic modification involved in various biological
processes and diseases. Analysis of DNA methylation data at a genome-wide and high …

Simple Summary Missing values are common in omics data and can arise from various
causes. Imputation approaches offer a different means of handling missing data instead of …

The probability prediction of multivariate time series is a notoriously challenging but practical
task. On the one hand, the challenge is how to effectively capture the cross-series …

Deep learning has emerged as a paradigm that revolutionizes numerous domains of
scientific research. Transformers have been utilized in language modeling outperforming …

DNA methylation is an important regulator of gene transcription. WGBS is the gold-standard
approach for base-pair resolution quantitative of DNA methylation. It requires high …

The stratigraphic correlation of well logs is crucial for characterizing subsurface reservoirs.
However, due to the complexity of well logs and the huge amount of well data, manual …

Dissecting intercellular epigenetic differences is key to understanding tissue heterogeneity.
Recent advances in single-cell DNA methylome profiling have presented opportunities to …

Motivation Single-cell DNA methylation sequencing can assay DNA methylation at single-
cell resolution. However, incomplete coverage compromises related downstream analyses …

Single-cell sequencing (SCS) is a technology that separates thousands of cells from the
organism and accurately analyzes the genetic material expressed in each cell using high …