Results 111 to 120 of about 3,551,086 (288)
Prediction of discretization error using the error transport equation
Journal of Computational Physics, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ismail B. Celik, Don Roscoe Parsons III
openaire +4 more sources
Predictive coding in psychopathology: mechanistic model or metaphorical re-description?
Frontiers in Human NeurosciencePredictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a hierarchical inference system that continuously minimizes the mismatch between predicted and actual sensory input.
Albandri Sultan Alotaibi
doaj +1 more source
Optimal classifier selection and negative bias in error rate estimation: An empirical study on high-dimensional prediction [PDF]
, 2009 In biometric practice, researchers often apply a large number of different methods in a "trial-and-error" strategy to get as much as possible out of their data and, due to publication pressure or pressure from the consulting customer, present only the ...
Carolin Strobl +5 more
core +2 more sources
Molecular Oncology, EarlyView.Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche +10 more
wiley +1 more source
Molecular Oncology, EarlyView.This study identifies somatostatin receptor 4 (Sstr4) as a critical tumor suppressor against skin and head/neck cancers (HNSCC, cSCC, and BCC). The loss of Sstr4 removes a check on cell growth, causing hyperactivation of the MAPK‐ERK signaling pathway (↑).
Ali Taqvi +6 more
wiley +1 more source
Correcting the optimally selected resampling-based error rate: A smooth analytical alternative to nested cross-validation [PDF]
, 2011 High-dimensional binary classification tasks, e.g. the classification of microarray samples into normal and cancer tissues, usually involve a tuning parameter adjusting the complexity of the applied method to the examined data set.
Augustin, Thomas +2 more
core +1 more source
Molecular Oncology, EarlyView.We show that emergence of castration‐resistant prostate (CRPC) is associated with significant upregulation of cyclins that positively regulate cyclin‐dependent kinase 2 (CDK2) and concomitant downregulation of CDK4 cyclins. This renders CRPC cells dependent on the high activity of CDK2, and CDK2 inhibitors synergistically sensitize CRPC cells to both ...
Joyeeta Chatterjee +3 more
wiley +1 more source
Wait for it: Predicted Error vs. Prediction Error in Language Processing
, 2016 Poster presented at 2015 meeting of the Society for the Neurobiology of ...
Alday, Phillip M. +3 more
openaire +1 more source
Choosing a Model and Strategy of Model Selection by Accumulated Prediction Error [PDF]
The purpose of the paper is to present and apply the accumulative one-step-ahead prediction error (APE) not only as a method (strategy) of model selection, but also as a tool of model selection strategy (meta-selection).
Mariola Pilatowska
core
Molecular Oncology, EarlyView.This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic +10 more
wiley +1 more source