Results 131 to 140 of about 5,057,856 (264)
Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Health Sciences ReviewThis systematic review comprised of an assessment of the relevant literature for measures that were most similar to the New York Heart Association Functional Classification.
Kelly D. Stamp +3 more
doaj +1 more source
, 2013 Functional classification of unique S. chinensis ESTs according to the MIPS Functional Catalogue scheme.
Michael Möller (128920) +7 more
core +1 more source
Molecular Oncology, EarlyView.LUNAR is a liver‐specific long noncoding RNA (lncRNA) that is highly expressed in normal liver but becomes epigenetically silenced in hepatocellular carcinoma through promoter hypermethylation. Loss of LUNAR is associated with NOTCH activation, epithelial–mesenchymal transition, and metastasis, whereas restoring LUNAR restrains metastatic progression ...
Se Ha Jang +9 more
wiley +1 more source
CEACAM1 participation in breast cancer progression
Molecular Oncology, EarlyView.In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin +3 more
wiley +1 more source
Curve Data Classification via Functional Regression Analysis
, 2012 計畫編號：NSC100-2118-M032-006研究期間：20110801~20120731研究經費：315,000本計畫將討論曲線資料(curve data)的分類(classification)問題，尤其是當存 在有與分類相關的解釋變數(covariates)時，探討如何將這些解釋變數有用之訊 息有效加入函數型分類方法中。我們將曲線資料視為隨機過程的實際觀測值， 並假設在多個已知分類下，各類隨機函數的平均函數與共變異函數均可能相 異。在給定相關解釋變數的訊息下，我們將利用條件函數型主成份分析 ...
李百靈
core
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
wiley +1 more source
Functional group classification using consensus clustering.
PLoS Computational BiologyFunctional diversity is a fundamental aspect of community structure and composition, reflecting diversity and redundancy in ecological niches, functional roles, and environmental responses among species within a community.
Pablo Ubilla Pavez +2 more
doaj +1 more source
Epidemiology, Biostatistics and Public HealthIntroduction Functional data analysis treats time-indexed observations as curves rather than isolated measurements, allowing classification models to exploit signal level, local velocity and curvature [1].
Annamaria Porreca +2 more
doaj +1 more source
Improving functional classification performance through diversity: the functional voting approach
In recent decades, Functional Data Analysis (FDA) has become widely popular as a framework for ana- lyzing data that are inherently functions in the domain of time.
Maturo Fabrizio +2 more
core