Results 181 to 190 of about 4,760,121 (354)

Approaching the screenplay as a complex system: underlying mechanics, interrelating dynamics and the plot-algorithmic process [PDF]

, 2013
George Varotsis
openalex  

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

Regression plots of each of the models when predicting the curated ratio of each of the episodes of retouch.

Guillermo Bustos-Pérez (21799579)
openalex   +1 more source

Detection of circulating tumor DNA in colorectal cancer patients using a methylation‐specific droplet digital PCR multiplex

Molecular Oncology, EarlyView.
We developed a cost‐effective methylation‐specific droplet digital PCR multiplex assay containing tissue‐conserved and tumor‐specific methylation markers. The assay can detect circulating tumor DNA with high accuracy in patients with localized and metastatic colorectal cancer.
Luisa Matos do Canto, Louise Raunkilde, Jan Lindebjerg, Mads Malik Aagaard, Christina Therkildsen, Jakob Kleif, Lars Henrik Jensen, Torben Frøstrup Hansen, Rikke Fredslund Andersen   +8 more
wiley   +1 more source

Calibration plots for random forest applied to accelerometer data under three approaches (NR, PCA, fFPCA) and two cross validation methods (n-fold and farm-fold).

Muhammad Usman Riaz (21615573), Luke O’Grady (3774166), Conor G. McAloon (10712896), Finnian Logan (21615576), Isobel Claire Gormley (11599588)   +4 more
openalex   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Atrial Tram Tracks and Ventricular Step Ladder: Decoding the Dot Plot. [PDF]

J Arrhythm
Velayutham R, Bhargav A, Janarthanan B, Selvaraj RJ.   +3 more
europepmc   +1 more source

Principal Coordinate Analysis (PCoA) plot for water samples by water source and season in Carriacou.

Akilah T. M. Stewart (9243473), Adrian Cashman (6180024), John Agard (20170071), Dave Chadee (21956940), Adesh Ramsubhag (6697457)   +4 more
openalex   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring. [PDF]

Sci Data
Chong YL, Krämer J, Chakhvashvili E, Marks E, Esser F, Dreier A, Rosu RA, Warstat K, Pude R, Behnke S, Muller O, Rascher U, Kuhlmann H, Stachniss C, Behley J, Klingbeil L.   +15 more
europepmc   +1 more source