Results 101 to 110 of about 7,151,646 (328)
Energies, 2016 Experimental data are subject to different sources of disturbance and errors, whose importance should be assessed. The level of noise, the presence of outliers or a measure of the “explainability” of the key variables with respect to the externally ...
Sylvain Quoilin, Jessica Schrouff
doaj +1 more source
, 2014 We propose an algebraic combinatorial method for solving large sparse linear systems of equations locally - that is, a method which can compute single evaluations of the signal without computing the whole signal. The method scales only in the sparsity of
Király, Franz J, Theran, Louis
core +1 more source
Ubiquitination of transcription factors in cancer: unveiling therapeutic potential
Molecular Oncology, EarlyView.In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley +1 more source
Sensors, 2018 As is well known, multi-hop range-free localization algorithms demonstrate pretty good performance in isotropic networks in which sensor nodes distribute evenly and densely.
Wei Zhao, Fei Shao, Song Ye, Wei Zheng
doaj +1 more source
Molecular Oncology, EarlyView.This study develops a semi‐supervised classifier integrating multi‐genomic data (1404 training/5893 validation samples) to improve homologous recombination deficiency (HRD) detection in breast cancer. Our method demonstrates prognostic value and predicts chemotherapy/PARP inhibitor sensitivity in HRD+ tumours.
Rong Zhu +12 more
wiley +1 more source
Predicting Competitive Swimming Performance
Central European Journal of Sport Sciences and Medicine, 2015 The aim of this study was to present the results of analyses conducted by means of complementary analytic tools in order to verify their efficacy and the hypothesis that Kohonen’s neural models may be applied in the classification process of ...
Olga Fidos-Czuba +7 more
doaj
Stimuli-Magnitude-Adaptive Sample Selection for Data-Driven Haptic Modeling
Entropy, 2016 Data-driven haptic modeling is an emerging technique where contact dynamics are simulated and interpolated based on a generic input-output matching model identified by data sensed from interaction with target physical objects.
Arsen Abdulali +2 more
doaj +1 more source
Landscape of BRAF transcript variants in human cancer
Molecular Oncology, EarlyView.We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda +5 more
wiley +1 more source
Loss of proton‐sensing GPR4 reduces tumor progression in mouse models of colon cancer
Molecular Oncology, EarlyView.G protein‐coupled receptor 4 (GPR4) is a pH‐sensing receptor activated by acidic pH. GPR4 expression is increased in patients with inflammatory bowel disease who are at high risk of developing colorectal cancer. In mouse models, loss of GPR4 attenuated tumor progression. This correlated with increased IL2 and natural killer cell activity.
Leonie Perren +16 more
wiley +1 more source