Results 91 to 100 of about 131,766 (331)
Explore the effect of size stratification of datasets on software faults proneness prediction performance [PDF]
, 2023 Yasser Alshehri, Yasser Alshehri
openalex +1 more source
Molecular Oncology, EarlyView.ERRFI1, a neural crest (NC)‐associated gene, was upregulated in melanoma and negatively correlated with the expression of melanocytic differentiation markers and the susceptibility of melanoma cells toward BRAF inhibitors (BRAFi). Knocking down ERRFI1 significantly increased the sensitivity of melanoma cells to BRAFi.
Nina Wang +8 more
wiley +1 more source
Fault Predictions in Object Oriented Software
, 2009 The dynamic software development organizations optimize the usage of resources to deliver the products in the specified time with the fulfilled requirements. This requires prevention or repairing of the faults as quick as possible. In this paper an approach for predicting the run-time errors in java is introduced. The paper is concerned with faults due
Bremananth, R, Thushara, R
openaire +2 more sources
Using a Log-normal Failure Rate Distribution for Worst Case Bound Reliability Prediction [PDF]
, 2003 Prior research has suggested that the failure rates of faults follow a log normal distribution. We propose a specific model where distributions close to a log normal arise naturally from the program structure.
Bishop, P. G., Bloomfield, R. E.
core
Molecular Oncology, EarlyView.Urinary LGALS3BP is elevated in bladder cancer patients compared to healthy controls as detected by the 1959 antibody–based ELISA. The antibody shows enhanced reactivity to the high‐mannose glycosylated variant secreted by cancer cells treated with kifunensine (KIF).
Asia Pece +18 more
wiley +1 more source
Survivin and Aurora Kinase A control cell fate decisions during mitosis
Molecular Oncology, EarlyView.Aurora A interacts with survivin during mitosis and regulates its centromeric role. Loss of Aurora A activity mislocalises survivin, the CPC and BubR1, leading to disruption of the spindle checkpoint and triggering premature mitotic exit, which we refer to as ‘mitotic slippage’.
Hana Abdelkabir +2 more
wiley +1 more source
Molecular Oncology, EarlyView.CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir +12 more
wiley +1 more source
Boosting Software Fault Prediction Accuracy with Ensemble Learning
Engineering ProceedingsSoftware defects are natural quality characteristics of software that are difficult to eliminate completely, even with concerted efforts. In addition to Bayes Net, in this study, C4.5 Decision Tree, Multilayer Perceptron (MLP), and Random Forests (RFs ...
Ashu Mehta, Isha Batra, Anggun Fergina
doaj +1 more source
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Effort-Aware Fault-Proneness Prediction Using Non-API-Based Package-Modularization Metrics
MathematicsSource code complexity of legacy object-oriented (OO) software has a trickle-down effect over the key activities of software development and maintenance. Package-based OO design is widely believed to be an effective modularization. Recently, theories and
Mohsin Shaikh +3 more
doaj +1 more source