Knowledge graph embedding for profiling the interaction between transcription factors and their target genes

• Published in: PLoS computational biology Vol. 19; no. 6; p. e1011207
• Main Authors: Wu, Yang-Han, Huang, Yu-An, Li, Jian-Qiang, You, Zhu-Hong, Hu, Peng-Wei, Hu, Lun, Leung, Victor C. M., Du, Zhi-Hua
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 01.06.2023; Public Library of Science (PLoS)
• Subjects: Analysis; Benchmarking; Binding sites; Biological research; Biology and Life Sciences; Classification; Computer and Information Sciences; Databases, Factual; Datasets; DNA binding proteins; Embedding; Epistasis, Genetic; Experiments; Gene expression; Gene regulation; Genes; Genetic aspects; Graphic methods; Humans; Identification and classification; Knowledge; Knowledge representation; Laboratories; Methods; Neural networks; Pattern Recognition, Automated; Prediction models; R&D; Research & development; Research and Analysis Methods; RNA polymerase; Topology; Transcription factors; Transcription Factors - genetics; United States; China

Interactions between transcription factor and target gene form the main part of gene regulation network in human, which are still complicating factors in biological research. Specifically, for nearly half of those interactions recorded in established database, their interaction types are yet to be c...