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Molecular Oncology, EarlyView.Isocitrate dehydrogenase 1 (IDH1) mutations are highly recurrent in multiple human cancer types, including cholangiocarcinoma and glioma. IDH1 R132C is the most common IDH1 mutation in cholangiocarcinoma and likely arises from APOBEC3A‐ or APOBEC3B‐mediated deamination.
Kelly E. Butler +3 more
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Molecular Oncology, EarlyView.This study identifies ARHGAP5, in addition to the frequently mutated ARHGAP35, as significantly mutated in endometrial cancer. Mutations in both genes co‐occur and are associated with their correlated downregulation. Functional CRISPR studies show that both paralogs regulate similar pathways, including actin cytoskeleton organization.
Mathilde Pinault +12 more
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Molecular Oncology, EarlyView.Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu +9 more
wiley +1 more source
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On robustness in system identification
Automatica, 1999This paper studies robustness issues in system identification. A framework for robust convergence analysis is given. It uses a set of results on robust convergence under average \(l_p\) norms, Orlicz norms and cross-correlation-type noise semi-norms.
P. M. Mäkilä, Jonathan R. Partington
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Bayesian System Identification
IFAC Proceedings Volumes, 1979Abstract In Bayesian statistics the concept of probability is interpreted as a rational measure of belief which is used to descri be mathemat ically the uncertain re lation between the statistician and the external world. The statistical inference is understood as a correction of prior subject ive probability distribution by objective data. The paper
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System identification with denoising
2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100), 2002When the signal-to-noise ratio (SNR) is low, classical system identification methods can not produce accurate results. The results can be improved by using denoising methods with time-frequency decompositions. The chirp signal is used as a training sequence to make the time-frequency domain denoising possible.
Aykut Bultan, Richard A. Haddad
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System theory for system identification
Journal of Econometrics, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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System Identification of Complex and Structured Systems
European Journal of Control, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2016
This work is concerned with the identification of linear time-invariant systems in the presence of an adversarial agent that attacks sensor measurements. The attacker is omniscient and we impose no restrictions (statistical or otherwise) on how the adversary alters the sensor measurements.
Mehrdad Showkatbakhsh +2 more
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This work is concerned with the identification of linear time-invariant systems in the presence of an adversarial agent that attacks sensor measurements. The attacker is omniscient and we impose no restrictions (statistical or otherwise) on how the adversary alters the sensor measurements.
Mehrdad Showkatbakhsh +2 more
openaire +2 more sources