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 …

The subcellular localization of long non-coding RNAs (lncRNAs) is crucial for understanding
lncRNA functions. Most of existing lncRNA subcellular localization prediction methods use k …

Motivation Protein essentiality is usually accepted to be a conditional trait and strongly
affected by cellular environments. However, existing computational methods often do not …

The identification and characterization of essential genes are central to our understanding of
the core biological functions in eukaryotic organisms, and has important implications for the …

Human essential proteins (HEPs) are indispensable for individual viability and development.
However, experimental methods to identify HEPs are often costly, time consuming and labor …

Background In cellular activities, essential proteins play a vital role and are instrumental in
comprehending fundamental biological necessities and identifying pathogenic genes …

Identifying essential proteins is of utmost importance in the field of biomedical research due
to their essential functions in cellular activities and their involvement in mechanisms related …

Proteins are played key roles in different functionalities in our daily life. All functional roles of
a protein are a bit enhanced in interaction compared to individuals. Identification of essential …

Accurately identifying essential proteins is vital for drug research and disease diagnosis.
Traditional centrality methods and machine learning approaches often face challenges in …

Recent studies have confirmed the significant effects of long non-coding RNAs (IncRNAs) in
understanding the mechanism of diseases. Because of the relatively small number of …