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Articles by Weiyue Chen
Brassinosteroid and TPD1 signaling pathways redundantly control anther lobe formation in Arabidopsis thaliana
Keywords BRI1 EMS1 brassinosteroids TPD1 anther Get full text access Log in, subscribe or purchase for full access. References 1. Sanders, P.M. ∙ Bui, A.Q. ∙ Weterings, K. ... Anther developmental defects in Arabidopsis thaliana male-sterile mutants Sex. Plant Reprod. 1999; 11:297-322 2. Ma, H. Molecular genetic analyses of microsporogenesis and microgrametogenesis in flowering plants Annu. Rev. Plant Biol. 2005; 56:393-434 3. Walker, J.C. ∙ Zhang, R.
Multiparametric MRI-based Interpretable Machine Learning Radiomics Model for Distinguishing Between Luminal and Non-luminal Tumors in Breast Cancer: A Multicenter Study
Keywords Breast cancer Magnetic resonance imaging Luminal Machine learning Radiomics Get full text access Log in, subscribe or purchase for full access. Availability of data and materials The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. References 1. Bray, F. ∙ Laversanne, M. ∙ Sung, H. ...
Development and Validation of a Machine Learning Radiomics Model based on Multiparametric MRI for Predicting Progesterone Receptor Expression in Meningioma: A Multicenter Study
Abbreviations AUC (area under the curve) CE-T1WI (contrast-enhanced T1-weighted imaging) DCA (decision curve analysis) HR (hazard ratios) ICC (intraclass correlation coefficients) IDI (integrated discrimination improvement) IHC (immunohistochemical) KNN (k-nearest neighbors) LASSO (least absolute shrinkage and selection operator) LR (logistic regression) MRI (magnetic resonance imaging) NB (naive Bayes) NRI (net reclassification improvement) PR (progesterone receptor) Rad-scores (radiomics...
Machine Learning Radiomics-Based Prediction of Non-sentinel Lymph Node Metastasis in Chinese Breast Cancer Patients with 1-2 Positive Sentinel Lymph Nodes: A Multicenter Study
Highlights • The random forest (RF) was considered the optimal machine learning (ML) algorithm for radiomics model construction and was used to calculate the radiomics signature. • The ML radiomics-based combined model incorporating the DCE-MRI radiomics signature with clinical risk factors performed significantly better in NSLN metastasis prediction than radiomics model and clinical model.
Genome-Wide Identification and Characterization of Glutaredoxin Family Genes in Common Wheat
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Development and validation of convolutional neural network-based model to predict the risk of sentinel or non-sentinel lymph node metastasis in patients with breast cancer: a machine learning study
Research in context Breast cancer patients with positive sentinel lymph node (SLN) but a low risk of non-sentinel lymph node (NSLN) metastasis should be exempted from axillary lymph node dissection (ALND). However, it has been reported that 43–65% of SLN-positive patients further underwent unnecessary axillary surgery.
Development and Validation of a Dual-Energy CT-Based Model for Predicting the Number of Central Lymph Node Metastases in Clinically Node-Negative Papillary Thyroid Carcinoma
This study aimed to develop and validate a dual-energy CT (DECT)-based model for preoperative prediction of the number of central lymph node metastases (CLNMs) in clinically node-negative (cN0) papillary thyroid carcinoma (PTC) patients. Between January 2016 and January 2021, 490 patients who underwent lobectomy or thyroidectomy, CLN dissection, and preoperative DECT examinations were enrolled and randomly allocated into the training (N = 345) and validation cohorts (N = 145).
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Civic participation and connectivity with a metro newspaper
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179-211. Google Scholar | ISI Ajzen, I., Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice Hall. Google Scholar Barzilai-Nahon, K. (2008). Toward a theory of network gatekeeping: A framework for exploring information control. Journal of the American Society for Information Science and Technology, 59, 1493-1512.
Perceived individual and societal values of news and paying for subscriptions
American Press Institute (2017) Paying for news: Why people subscribe and what it says about the future of journalism. Available at: https://www.americanpressinstitute.org/publications/reports/survey-research/paying-for-news/ Google Scholar American Press Institute (2018) Paths to Subscription: Why recent subscribers chose to pay for news.
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