Results 121 to 130 of about 2,431,681 (314)
Generating Survival Interpretable Trajectories and Data
Doklady MathematicsAbstract A new model for generating survival trajectories and data based on applying an autoencoder of a specific structure is proposed. It solves three tasks. First, it provides predictions in the form of the expected event time and the survival function for a new feature vector based on the Beran estimator ...
Andrei V. Konstantinov +2 more
openaire +3 more sources
Molecular Oncology, EarlyView.EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain +10 more
wiley +1 more source
Molecular Oncology, EarlyView.RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner +14 more
wiley +1 more source
Cumulative survival data and model fit.
, 2016 Cumualtive survival data (plotting symbols) by zygosity and sex for the 1870–1900 Danish twin cohorts and the 1870–1900 Danish general population cohort. Smooth line through each set of survival data is the model fit.
David J. Sharrow (567597) +1 more
core +1 more source
Molecular Oncology, EarlyView.CIN85 is highly expressed in osteosarcoma, particularly in metastatic lesions. Its overexpression increases cell migration and Matrigel invasion, while silencing CIN85 suppresses these behaviors. Transcriptome analysis shows that CIN85 regulates MMP2, COL3A1, and Akt/mTOR signaling. Targeting these pathways reverses CIN85‐induced motility, highlighting
Iryna Horak +10 more
wiley +1 more source
Evaluating the proportional hazards assumption with current status survival data
, 2013 碩士右設限存活資料的迴歸診斷問題，已被廣泛的研究，但對於現狀存活數據之迴歸診斷問題較少。現狀存活數據包含共變量，檢查時間和在檢查時間事件是否發生的指標。在本論文中我們發展四種圖形法或量化法即：「log-log存活曲線圖」；「觀察與預期存活曲線圖」；「柯斯-斯奈爾殘差法」和「布萊爾-分數方法」來評量現狀存活數據的比例風險假設。並且提出四個對應的配適度指標。模擬結果顯示，此四個方法的表現是不錯的。另外，分析三組實際的現狀存活數據來說明所提方法的應用程序。Regression diagnostic ...
王維; Wang, Wei
core
Molecular Oncology, EarlyView.Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
p3state.msm: Analyzing Survival Data from an Illness-Death Model
In longitudinal studies of disease, patients can experience several events across a followup period. Analysis of such studies can be successfully performed by multi-state models.
Luís Filipe Meira Machado +1 more
core +1 more source
Transformed Survival Data from McDonald 1980
, 2018 Survival data from McDonald 1980 transformed for ...
Mordecai, Erin +5 more
core +1 more source
Spatial Modeling of Censored Survival Data
پژوهشهای ریاضی, 2015 An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even ...
K Motarjem, M Mohammadzadeh, A Abyar
doaj