Deep learning, a potent branch of artificial intelligence, is steadily leaving its transformative
imprint across multiple disciplines. Within computational biology, it is expediting progress in …

In recent decades, microarray datasets have played an important role in triple negative
breast cancer (TNBC) detection. Microarray data classification is a challenging process due …

Background: Cell–cell communication in a tumor microenvironment is vital to tumorigenesis,
tumor progression and therapy. Intercellular communication inference helps understand …

Intercellularcommunication significantly influences tumor progression, metastasis, and
therapy resistance. An intercellular communication inference method includes two main …

Peptides have shown increasing advantages and significant clinical value in drug discovery
and development. With the development of high‐throughput technologies and artificial …

Cell–cell communication is essential to many key biological processes. Intercellular
communication is generally mediated by ligand–receptor interactions (LRIs). Thus, building …

Cell-to-cell communication (CCC) plays important roles in multicellular organisms. The
identification of communication between cancer cells themselves and one between cancer …

Accurate in-silico identification of protein–protein interactions (PPIs) is a long-standing
problem in biology, with important implications in protein function prediction and drug …

Background Protein-protein interaction (PPI) is very important for many biochemical
processes. Therefore, accurate prediction of PPI can help us better understand the role of …

With the exponential growth of computation-intensive and latency-sensitive applications in
5G, it is hard to satisfy the heterogeneous requirements for increased data traffic with limited …