Increasing interest has been attracted in deciphering the potential disease pathogenesis
through lncRNA-disease association (LDA) prediction, regarding to the diverse functional …

This review paper provides an extensive analysis of the rapidly evolving convergence of
deep learning and long non-coding RNAs (lncRNAs). Considering the recent advancements …

As the key for biological sequence structure and function prediction, disease diagnosis and
treatment, biological sequence similarity analysis has attracted more and more attentions …

Long noncoding RNAs (lncRNAs) participate in various biological processes and have close
linkages with diseases. In vivo and in vitro experiments have validated many associations …

Sequence-specific transcription factors (TFs) are the key effectors of eukaryotic gene control
and they regulate hundreds to thousands of downstream genes. Of particular interest are …

The identification of long noncoding RNA (lncRNA)-disease associations is of great value for
disease diagnosis and treatment, and it is now commonly used to predict potential lncRNA …

Discovering the relationships between long non-coding RNAs (lncRNAs) and diseases is
significant in the treatment, diagnosis and prevention of diseases. However, current …

Motivation: Exploring the potential long noncoding RNA (lncRNA)-disease associations
(LDAs) plays a critical role for understanding disease etiology and pathogenesis. Given the …

Noncoding RNA (ncRNA) is closely related to drug resistance. Identifying the association
between ncRNA and drug resistance is of great significance for drug development. Methods …

Abstract Traditional Chinese Medicine (TCM) has been widely adopted in clinical practice by
Eastern Asia people for thousands of years. Nowadays, TCM still plays a critical role in …