Although remarkable advances have been reported in high-throughput sequencing, the
ability to aptly analyze a substantial amount of rapidly generated biological …

Transcription factor (TF) binding specificities (motifs) are essential for the analysis of gene
regulation. Accurate prediction of TF motifs is critical, because it is infeasible to assay all TFs …

Many problem settings in machine learning are concerned with the simultaneous prediction
of multiple target variables of diverse type. Amongst others, such problem settings arise in …

Sequence‐specific transcription factors (TFs) bind short DNA sequences in the genome to
regulate the expression of target genes. In the last decade, numerous technical advances …

RNA-binding proteins (RBPs) play a crucial role in gene regulation. Unfortunately,
experimental approaches for detecting the RNA-protein binding sites on RNAs are still high …

Transcription factors (TFs) bind regulatory DNA to control gene expression, and mutations to
either TFs or DNA can alter binding affinities to rewire regulatory networks and drive …

Homeodomains (HDs) are the second largest class of DNA binding domains (DBDs) among
eukaryotic sequence-specific transcription factors (TFs) and are the TF structural class with …

This paper focuses on designing distributed algorithms for solving the linear matrix equation
in the form of AXB= F via a double-layered multi-agent network. Firstly, we equivalently …

Accurate heading estimation is the foundation of numerous applications, including
augmented reality, pedestrian dead reckoning, and human-computer interactions. While …

RNA-binding proteins (RBPs) allow cells to carry out pre-RNA processing and post-
transcriptional regulation of gene expression, and aberrations in RBP functions have been …