A revealing and surprising look at the ways that aggressive consumer advertising and tracking, already pervasive online, are coming to a retail store near you By one expert€TMs prediction, within twenty years half of Americans will have body implants that tell retailers how they feel about ...
A context-aware approach for long-term behavioural change detection and abnormality prediction in ambient assisted living Pattern Recognition, 48 (2015), pp. 628-641 View PDFView articleView in ScopusGoogle Scholar [6] L. Gao, A. Bourke, J. Nelson Evaluation of accelerometer based multi-sensor...
Finally, we propose a new interactive bot available for users that relies on the best-performing models evaluated in the previous steps. The experiments have been conducted using two medical datasets for disease prediction consisting of more than 100 symptoms associated with several diagnoses....
Unsupervised and supervised survival analysis and prediction Unsupervised hierarchal clustering using the previously described prognostic miRNA profiles in the MGH and TARGET datasets was performed with the centered correlation and average linkage method51 and resulting groups were then analyzed for survival di...
The individual assemblies were used for gene prediction at a later stage. All RNA-Seq assem- blies were quality filtered using Transrate to reduce the probability of mis-assembled transcripts. Predicted cod- ing sequences were generated using TransDecoder (with PFAM and BLAST guides). Diamond ...
those features that did not have a meaningful effect on the dependent variable or prediction of output. Then, we deployed exhaustive feature selection, which aims at finding the best-performing feature subset by searching across all possible feature combinations (a brute-force method) until the desi...
eggNOG-mapper v2: Functional Annotation, Orthology Assignments, and Domain Prediction at the Metagenomic Scale. Mol Biol Evol. 2021. https://doi.org/10.1093/molbev/msab293. Article PubMed PubMed Central Google Scholar Huerta-Cepas J, Szklarczyk D, Heller D, Hernández-Plaza A, Forslund ...
Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources. BMC Bioinformatics. 2006;7(1):62. 134. Holt C, Yandell M. MAKER2: an annotation pipeline and genome-database management tool for second-generation genome projects. BMC Bioinformatics. ...
those features that did not have a meaningful effect on the dependent variable or prediction of output. Then, we deployed exhaustive feature selection, which aims at finding the best-performing feature subset by searching across all possible feature combinations (a brute-force method) until the desi...
A stepwise algorithm was used to filter irrelevant genes that do not contribute to prediction. This approach gave rise to specific weighted classifiers associated with dependency for cyclin D1 or cyclin E. These classifiers were used with the breast cancer and ovarian cancer IC50 data to predict ...