Results 111 to 120 of about 2,842,615 (341)

Investigating the cell of origin and novel molecular targets in Merkel cell carcinoma: a historic misnomer

Molecular Oncology, EarlyView.
This study indicates that Merkel cell carcinoma (MCC) does not originate from Merkel cells, and identifies gene, protein & cellular expression of immune‐linked and neuroendocrine markers in primary and metastatic Merkel cell carcinoma (MCC) tumor samples, linked to Merkel cell polyomavirus (MCPyV) status, with enrichment of B‐cell and other immune cell
Richie Jeremian, Sriraam Sivachandran, Melissa Galati, Brandon Ramchatesingh, Hibo Rijal, Johnny Hanna, Elena Netchiporouk, May Chergui, Margaret Redpath, Samy Abou Setah, Ivan V. Litvinov   +10 more
wiley   +1 more source

A multimodal deep learning architecture for smoking detection with a small data approach

Frontiers in Artificial Intelligence
Covert tobacco advertisements often raise regulatory measures. This paper presents that artificial intelligence, particularly deep learning, has great potential for detecting hidden advertising and allows unbiased, reproducible, and fair quantification ...
Róbert Lakatos, Róbert Lakatos, Róbert Lakatos, Péter Pollner, András Hajdu, Tamás Joó, Tamás Joó   +6 more
doaj   +1 more source

Regarding data visualization [PDF]

Infection Control & Hospital Epidemiology, 2020
openaire   +2 more sources

Interactive Visualization of the Largest Radioastronomy Cubes

, 2010
3D visualization is an important data analysis and knowledge discovery tool, however, interactive visualization of large 3D astronomical datasets poses a challenge for many existing data visualization packages.
A.H. Hassan, Barnes, Becciani, Beeson, C.J. Fluke, D.G. Barnes, Drebin, Goel, Graham, Hamada, Lacroute, Levoy, Li, Lombeyda, McClure-Griffiths, Oosterloo, Pence, Sabella, Samet, Schive, Thibault, Wayth   +21 more
core   +1 more source

Visualizing Quantitative Data [PDF]

, 2016
Anatol Sargin, Ali Ünlü
openalex   +1 more source

Data Analysis, Visualization and Prediction of Stock Market Prices of K-Electric

, 2022
Noman Islam, Misbah Afzal, Muhammad Arsal Wali, Hamza Shakeel   +3 more
openalex   +2 more sources

Integrated genomic and proteomic profiling reveals insights into chemoradiation resistance in cervical cancer

Molecular Oncology, EarlyView.
A comprehensive genomic and proteomic analysis of cervical cancer revealed STK11 and STX3 as a potential biomarkers of chemoradiation resistance. Our study demonstrated EGFR as a therapeutic target, paving the way for precision strategies to overcome treatment failure and the DNA repair pathway as a critical mechanism of resistance.
Janani Sambath, Irene A. George, Srikanth S. Manda, Prasanth Ariyannur, Ekta R. Dhawale, Raja Sekhar Kommu, Rajan Datar, Darshana Patil, Vinita Trivedi, Manisha Singh, Kumar Prabhash, Sewanti Limaye, Richa Chauhan, Prashant Kumar   +13 more
wiley   +1 more source

YAP1::TFE3 mediates endothelial‐to‐mesenchymal plasticity in epithelioid hemangioendothelioma

Molecular Oncology, EarlyView.
The YAP1::TFE3 fusion protein drives endothelial‐to‐mesenchymal transition (EndMT) plasticity, resulting in the loss of endothelial characteristics and gain of mesenchymal‐like properties, including resistance to anoikis, increased migratory capacity, and loss of contact growth inhibition in endothelial cells.
Ant Murphy, Samuel Hartzler, Paula A. Vargas Carranza, Shyaman Jayasundara, Madison E. Yates, Nimod D. Janson, Bozhi Liu, Annaleigh Benton, Majid Kazemian, Jason A. Hanna   +9 more
wiley   +1 more source

Image-to-Image Translation-Based Deep Learning Application for Object Identification in Industrial Robot Systems

Robotics
Industry 4.0 has become one of the most dominant research areas in industrial science today. Many industrial machinery units do not have modern standards that allow for the use of image analysis techniques in their commissioning.
Timotei István Erdei, Tibor Péter Kapusi, András Hajdu, Géza Husi   +3 more
doaj   +1 more source

Draw Your Own Visualization [PDF]

, 2003
The purpose of this activity is to learn about visualizations by designing and drawing one. Students draw a visualization based either on their interests and ideas about the world or based on actual GLOBE data.
The GLOBE Program, UCAR (University Corporation for Atmospheric Research)
core