Results 81 to 90 of about 789,696 (298)

Sensitivity Analysis of Compressive Sensing Solutions

open access: yesFrontiers in Robotics and AI, 2015
The compressive sensing framework □nds a wide range of applications in signal processing, data analysis and fusion. Within this framework, various methods have been proposed to □nd a sparse solution x from a linear measurement model y = Ax.
Liyi eDai
doaj   +1 more source

Robust Prediction of Anti-Cancer Drug Sensitivity and Sensitivity-Specific Biomarker

open access: yesPLoS ONE, 2014
The personal genomics era has attracted a large amount of attention for anti-cancer therapy by patient-specific analysis. Patient-specific analysis enables discovery of individual genomic characteristics for each patient, and thus we can effectively predict individual genetic risk of disease and perform personalized anti-cancer therapy.
Heewon Park   +3 more
openaire   +4 more sources

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

open access: yesMolecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge   +17 more
wiley   +1 more source

Basroparib inhibits YAP‐driven cancers by stabilizing angiomotin

open access: yesMolecular Oncology, EarlyView.
Basroparib, a selective tankyrase inhibitor, suppresses Wnt signaling and attenuates YAP‐driven oncogenic programs by stabilizing angiomotin. It promotes AMOT–YAP complex formation, enforces cytoplasmic YAP sequestration, inhibits YAP/TEAD transcription, and sensitizes YAP‐active cancers, including KRAS‐mutant colorectal cancer, to MEK inhibition.
Young‐Ju Kwon   +4 more
wiley   +1 more source

Robustness versus efficiency for nonparametric correlation measures. [PDF]

open access: yes
Nonparametric correlation measures at the Kendall and Spearman correlation are widely used in the behavioral sciences. These measures are often said to be robust, in the sense of being resistant to outlying observations.
Croux, Christophe, Dehon, Catherine
core  

An improved closed-loop stability related measure for finite-precision digital controller realizations

open access: yes, 2001
The pole-sensitivity approach is employed to investigate the stability issue of the discrete-time control system, where a digital controller, implemented with finite word length (FWL), is used.
Chen, S.   +4 more
core   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

open access: yesMolecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel   +6 more
wiley   +1 more source

EPS Current Tracking Method Research Based on Hybrid Sensitivity H∞ Control Algorithm

open access: yesJournal of Electrical and Computer Engineering, 2018
For electric power steering system (EPS), road interference, noise of the sensor, and the uncertainty of the steering system may make EPS control effect and the driver's road sense worse. EPS system which takes advantage of good current tracking ability,
Hairong Wu   +6 more
doaj   +1 more source

A Comparative Study of UCB and Thompson Sampling with Structured Rewards: Parameter Sensitivity and Robustness [PDF]

open access: yesITM Web of Conferences
The behavior of multi-armed bandit (MAB) algorithms is closely tied to how their hyperparameters are set, but their stability in structured reward environments has not been examined in depth.
Chen Yutong
doaj   +1 more source

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