Zobrazeno 1 - 10
of 155
pro vyhledávání: '"Paul J Kennedy"'
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157330 (2016)
The identification of a subset of genes having the ability to capture the necessary information to distinguish classes of patients is crucial in bioinformatics applications. Ensemble and bagging methods have been shown to work effectively in the proc
Externí odkaz:
https://doaj.org/article/5fd0347f9a87460d9ada146d92d07f88
Publikováno v:
Bioinformatics and Biology Insights, Vol 2012, Iss 6, Pp 187-202 (2012)
Externí odkaz:
https://doaj.org/article/fc441d6ffbec41259f4a30a36c3d673b
Publikováno v:
Journal of Pathology Informatics, Vol 9, Iss 1, Pp 17-17 (2018)
Background: Neuroblastoma is the most common extracranial solid tumor in children younger than 5 years old. Optimal management of neuroblastic tumors depends on many factors including histopathological classification. The gold standard for classifica
Externí odkaz:
https://doaj.org/article/ac04d5a154294aceb2a6052cb4d7a1b1
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 9 (2015)
The emerging links between our gut microbiome and the central nervous system are regarded as a paradigm shift in neuroscience with possible implications for not only understanding the pathophysiology of stress-related psychiatric disorders, but also
Externí odkaz:
https://doaj.org/article/e04a6c4ae70341d7a8939528ac5ec996
Publikováno v:
PLoS ONE, Vol 9, Iss 12, p e115745 (2014)
Given thousands of proteins constituting a eukaryotic pathogen, the principal objective for a high-throughput in silico vaccine discovery pipeline is to select those proteins worthy of laboratory validation. Accurate prediction of T-cell epitopes on
Externí odkaz:
https://doaj.org/article/44de5c0afeaf45aeb6adff8e70bd1e88
Autor:
Zhonglin Qu, Quang Vinh Nguyen, Chng Wei Lau, Andrew Johnston, Paul J. Kennedy, Simeon Simoff, Daniel Catchpoole
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Visualising patient genomic data in a cohort with embedding data analytics models can provide relevant and sensible patient comparisons to assist a clinician with treatment decisions. As immersive technology is actively used aroun
Externí odkaz:
https://doaj.org/article/3450e07b04424512be52b98ccc06ae12
Publikováno v:
PLoS ONE, Vol 7, Iss 11, p e50609 (2012)
Next generation sequencing technology is advancing genome sequencing at an unprecedented level. By unravelling the code within a pathogen's genome, every possible protein (prior to post-translational modifications) can theoretically be discovered, ir
Externí odkaz:
https://doaj.org/article/90300c7ab7de4e74a139917606b2936f
Publikováno v:
Bioinformatics and Biology Insights, Vol 6 (2012)
In this study, the BALB/c and Qs mouse responses to infection by the parasite Neospora caninum were investigated in order to identify host response mechanisms. Investigation was done using gene set (enrichment) analyses of microarray data. GSEA, MANO
Externí odkaz:
https://doaj.org/article/980c938f33444657827452ab6c645fd4
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract The increasing rates of breast cancer, particularly in emerging economies, have led to interest in scalable deep learning-based solutions that improve the accuracy and cost-effectiveness of mammographic screening. However, such tools require
Externí odkaz:
https://doaj.org/article/637625b691744a0e8a80edc30145d0ce
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-20 (2023)
Abstract Vaccine discovery against eukaryotic parasites is not trivial as highlighted by the limited number of known vaccines compared to the number of protozoal diseases that need one. Only three of 17 priority diseases have commercial vaccines. Liv
Externí odkaz:
https://doaj.org/article/5b09fe664643408ebc48d04764c524ff