Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Bihai Zhao"'
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-16 (2022)
Abstract Background Accurate annotation of protein function is the key to understanding life at the molecular level and has great implications for biomedicine and pharmaceuticals. The rapid developments of high-throughput technologies have generated
Externí odkaz:
https://doaj.org/article/c1283af767554e57816472f8ee20d97d
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-19 (2022)
Abstract Background The accurate characterization of protein functions is critical to understanding life at the molecular level and has a huge impact on biomedicine and pharmaceuticals. Computationally predicting protein function has been studied in
Externí odkaz:
https://doaj.org/article/d62a15fa7330469d87a674bf1d6824f3
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 6331-6343 (2022)
High throughput biological experiments are expensive and time consuming. For the past few years, many computational methods based on biological information have been proposed and widely used to understand the biological background. However, the proce
Externí odkaz:
https://doaj.org/article/cfa69b86f3ab4e5fbc0f18e214788eb8
Publikováno v:
Entropy, Vol 25, Iss 6, p 841 (2023)
Identifying the driver genes of cancer progression is of great significance in improving our understanding of the causes of cancer and promoting the development of personalized treatment. In this paper, we identify the driver genes at the pathway lev
Externí odkaz:
https://doaj.org/article/e17fb46f1d754301906a336b40d8f690
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-21 (2020)
Abstract Background The accurate annotation of protein functions is of great significance in elucidating the phenomena of life, treating disease and developing new medicines. Various methods have been developed to facilitate the prediction of these f
Externí odkaz:
https://doaj.org/article/83ed1620bfa04ab5b41df5a88be7c70d
Publikováno v:
Human Genomics, Vol 14, Iss 1, Pp 1-12 (2020)
Abstract Background Essential proteins are an important part of the cell and closely related to the life activities of the cell. Hitherto, Protein-Protein Interaction (PPI) networks have been adopted by many computational methods to predict essential
Externí odkaz:
https://doaj.org/article/3624fbb1b9dc42ac996011bed3a712e4
Publikováno v:
IEEE Access, Vol 8, Pp 31341-31349 (2020)
Growing evidence shows that microbes in human body and body surface play critical roles in the development of many human diseases. Predicting the underlying associations between diseases and microbes is essential for deeply understanding the pathogen
Externí odkaz:
https://doaj.org/article/5c2d8c3adc854a249559f9ffff960f29
Publikováno v:
IEEE Access, Vol 8, Pp 29385-29394 (2020)
Essential proteins are important for the survival and reproduction of organisms. Many computational methods have been proposed to identify essential proteins, due to the production of vast amounts of protein-protein interaction (PPI) data. It has bee
Externí odkaz:
https://doaj.org/article/81dd99aff6d94e8d9c8f0e501b98b378
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background In recent years, lncRNAs (long-non-coding RNAs) have been proved to be closely related to the occurrence and development of many serious diseases that are seriously harmful to human health. However, most of the lncRNA-disease asso
Externí odkaz:
https://doaj.org/article/d945666c5ebc4e22bd3d63c317e32ad3
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background Essential proteins are distinctly important for an organism’s survival and development and crucial to disease analysis and drug design as well. Large-scale protein-protein interaction (PPI) data sets exist in Saccharomyces cerev
Externí odkaz:
https://doaj.org/article/e8854c09fc9c49b499b59b8eb15a1bde