Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Yangkun Cao"'
Publikováno v:
Frontiers in Genetics, Vol 14 (2023)
The exploration of important biomarkers associated with cancer development is crucial for diagnosing cancer, designing therapeutic interventions, and predicting prognoses. The analysis of gene co-expression provides a systemic perspective on gene net
Externí odkaz:
https://doaj.org/article/b0d48a27065741cf94140e75d9f81984
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
MicroRNAs (miRNAs) play an important role in various biological processes and their abnormal expression could lead to the occurrence of diseases. Exploring the potential relationships between miRNAs and diseases can contribute to the diagnosis and tr
Externí odkaz:
https://doaj.org/article/6b9d62ad6b734068b41955da597f4241
Publikováno v:
Frontiers in Genetics, Vol 13 (2022)
Accurate molecular subtypes prediction of cancer patients is significant for personalized cancer diagnosis and treatments. Large amount of multi-omics data and the advancement of data-driven methods are expected to facilitate molecular subtyping of c
Externí odkaz:
https://doaj.org/article/d43593fca2fa43dfb0def6cb6fc3847e
Publikováno v:
Metabolites, Vol 13, Iss 3, p 339 (2023)
Cancer is a heterogeneous disease that is driven by the accumulation of both genetic and nongenetic alterations, so integrating multiomics data and extracting effective information from them is expected to be an effective way to predict cancer driver
Externí odkaz:
https://doaj.org/article/8f2ead64044e416784a5458f5d3ad66e
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
A lot of studies indicated that aberrant expression of long non-coding RNA genes (lncRNAs) is closely related to human diseases. Identifying disease-related lncRNAs (disease lncRNAs) is critical for understanding the pathogenesis and etiology of dise
Externí odkaz:
https://doaj.org/article/0fa43911a99643c59a3eeed3e8a43439
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. :1-18
Publikováno v:
Briefings in bioinformatics. 23(2)
Motivation Identifying new therapeutic effects for the approved drugs is beneficial for effectively reducing the drug development cost and time. Most of the recent computational methods concentrate on exploiting multiple kinds of information about dr
Publikováno v:
Briefings in bioinformatics. 23(2)
Motivation Predicting disease-related long non-coding RNAs (lncRNAs) can be used as the biomarkers for disease diagnosis and treatment. The development of effective computational prediction approaches to predict lncRNA-disease associations (LDAs) can
Publikováno v:
Bioinformatics (Oxford, England).
Motivation Exploring the potential drug–target interactions (DTIs) is a key step in drug discovery and repurposing. In recent years, predicting the probable DTIs through computational methods has gradually become a research hot spot. However, most
Publikováno v:
Bioinformatics (Oxford, England). 35(20)
Motivation Identifying and developing novel therapeutic effects for existing drugs contributes to reduction of drug development costs. Most of the previous methods focus on integration of the heterogeneous data of drugs and diseases from multiple sou