Results 271 to 280 of about 32,466,082 (318)
Cancer‐associated mutations in endometriosis reframe a benign disease through molecular oncology
Molecular Oncology, EarlyView.This review aims to comprehensively analyse cancer‐associated somatic mutations (CAMs) present in endometriotic lesions, emphasizing their biological roles, spatial distribution and implications for translational applications in medicine. By contextualizing a benign state within a genomic framework, this analysis seeks to establish its value as a ...
Clarissa Mujacic +15 more
wiley +1 more source
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
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
Model averaging estimation of panel data models with many instruments and boosting. [PDF]
J Appl StatHao H, Huang B, Lee TH.
europepmc +1 more source
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Common Data Model for Healthcare Data
2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2018There is a huge volume of data made openly available to the masses on Government data sites such as the www.data.gov.in. However, it is very difficult to make sense between data from two different data sets or different domains. As a result a lot of time is spent in just collecting and linking this data from various sources before it can be put to use.
Umair M. Khan +3 more
openaire +1 more source
Multidimensional data modeling for complex data
Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999Online Analytical Processing (OLAP) systems considerably ease the process of analyzing business data and have become widely used in industry. Such systems primarily employ multidimensional data models to structure their data. However current multidimensional data models fall short in their abilities to model the complex data found in some real world ...
Torben Bach Pedersen +1 more
openaire +2 more sources
Data modeling styles in data warehousing
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014The paper presents a coordinated set of data modeling styles relevant for data warehouse design in the context of relational databases. The scope of presented models covers: a) entity relationship models of existing relational DB sources, b) logical data vault model for integrated enterprise data warehouses as a system of records, c) dimensional fact ...
Vladan M. Jovanovic +2 more
openaire +2 more sources
2009
The Grid allows scientists to design and perform very large-scale experiments that are not possible previously. Many of these experiments produce a large number of data sets and significantly the amount of data being captured, generated, replicated and archived is growing at an astonishing rate.
Tim Ho, David Abramson 0001
openaire +4 more sources
The Grid allows scientists to design and perform very large-scale experiments that are not possible previously. Many of these experiments produce a large number of data sets and significantly the amount of data being captured, generated, replicated and archived is growing at an astonishing rate.
Tim Ho, David Abramson 0001
openaire +4 more sources
2021
Time is an essential dimension of our perception of the world and hence an important dimension for the representation of the real and social world in data models. We give an overview of the basics of representing time in data models and representing objects and processes with respect to the temporal dimension.
Johann Eder +2 more
openaire +1 more source
Time is an essential dimension of our perception of the world and hence an important dimension for the representation of the real and social world in data models. We give an overview of the basics of representing time in data models and representing objects and processes with respect to the temporal dimension.
Johann Eder +2 more
openaire +1 more source