Results 251 to 260 of about 6,412,013 (303)
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
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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
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
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Molecular Oncology, EarlyView.Partial inhibition of focal adhesion kinase (FAK) can paradoxically promote tumor growth, rather than simply producing a weaker antitumor effect than that observed with strong FAK suppression. In breast cancer and melanoma models, targeting p110δ PI3K, particularly in macrophages, counteracted these tumor‐promoting effects, highlighting the importance ...
Lydia Xenou +4 more
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Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer
Molecular Oncology, EarlyView.Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim +7 more
wiley +1 more source
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Missing Value Monitoring to Address Missing Values in Quantitative Proteomics
2021Many classes of key functional proteins such as transcription factors or cell cycle proteins are present in the proteome at a very low concentration. These low-abundance proteins are almost entirely invisible to systematic quantitative analysis by classical data dependent proteomics methods (DDA).
Vittoria, Matafora, Angela, Bachi
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Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Missing value is common in many machine learning problems and much effort has been made to handle missing data to improve the performance of the learned model. Sometimes, our task is not to train a model using those unlabeled/labeled data with missing value but process examples according to the values of some specified features.
Zhi-Lin Zhao 0001 +3 more
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Missing value is common in many machine learning problems and much effort has been made to handle missing data to improve the performance of the learned model. Sometimes, our task is not to train a model using those unlabeled/labeled data with missing value but process examples according to the values of some specified features.
Zhi-Lin Zhao 0001 +3 more
openaire +2 more sources
2017 21st International Conference Information Visualisation (IV), 2017
Many real world data sets have data items with missing values. Values can be missing for many different reasons, such as sensor failure, respondents forgetting or refusing to answer a question in a survey, or a certain feature not being applicable to certain subsets of data.
Jonas Sjöbergh, Yuzuru Tanaka
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Many real world data sets have data items with missing values. Values can be missing for many different reasons, such as sensor failure, respondents forgetting or refusing to answer a question in a survey, or a certain feature not being applicable to certain subsets of data.
Jonas Sjöbergh, Yuzuru Tanaka
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Role Mining with Missing Values
2016 11th International Conference on Availability, Reliability and Security (ARES), 2016Over the years several organizations are migrating to Role-Based Access Control (RBAC) as a practical solution to regulate access to sensitive information. Role mining has been proposed to automatically extract RBAC policies from the current set of permissions assigned to users.
Sokratis Vavilis +3 more
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2012
We propose an ℓ₁-regularized likelihood method for estimating the inverse covariance matrix in the high-dimensional multivariate normal model in presence of missing data. Our method is based on the assumption that the data are missing at random (MAR) which entails also the completely missing at random case.
Städler, Nicolas, Bühlmann, Peter
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We propose an ℓ₁-regularized likelihood method for estimating the inverse covariance matrix in the high-dimensional multivariate normal model in presence of missing data. Our method is based on the assumption that the data are missing at random (MAR) which entails also the completely missing at random case.
Städler, Nicolas, Bühlmann, Peter
openaire +2 more sources