Results 61 to 70 of about 1,208,864 (273)
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 +4 more
wiley +1 more source
Molecular Oncology, EarlyView.The LINC01116 long noncoding RNA is induced by hypoxia and associated with poor prognosis and high recurrence rates in two cohorts of lung adenocarcinoma patients. Here, we demonstrate that besides its expression in cancer cells, LINC01116 is markedly expressed in lymphatic endothelial cells of the tumor stroma in which it participates in hypoxia ...
Marine Gautier‐Isola +12 more
wiley +1 more source
Journal of Ophthalmic & Vision Research, 2022 Purpose: To evaluate the ray tracing method's accuracy employing Okulix ray tracing software and thin-lens formulas to calculate intraocular lens (IOL) power using a swept-source optical coherence tomography (SS-OCT) biometer (OA2000).
Reza Ghaffari +5 more
doaj +1 more source
Least-Absolute-Deviations Fits for Generalized Linear Models [PDF]
Biometrika, 1992 Reference STAP-ARTICLE-1992-004View record in Web of Science Record created on 2006-04-04, modified on 2016-08 ...
openaire +2 more sources
Anomaly Detection in High-Dimensional Time Series Data with Scaled Bregman Divergence
AlgorithmsThe purpose of anomaly detection is to identify special data points or patterns that significantly deviate from the expected or typical behavior of the majority of the data, and it has a wide range of applications across various domains.
Yunge Wang +4 more
doaj +1 more source
Applied Sciences, 2020 In order to calibrate the misalignment error of a triaxial magnetometer and an inertial navigation system in a three-component magnetic survey system, an improved method with easy realization is proposed in this paper. We establish the misalignment error
Supeng Li +6 more
doaj +1 more source
Screen content image segmentation using least absolute deviation fitting [PDF]
2015 IEEE International Conference on Image Processing (ICIP), 2015 5 ...
Minaee, Shervin, Wang, Yao
openaire +2 more sources
Fitting fuzzy measures by linear programming. Programming library fmtools
, 2008 We discuss the problem of learning fuzzy measures from empirical data. Values of the discrete Choquet integral are fitted to the data in the least absolute deviation sense. This problem is solved by linear programming techniques.
Beliakov, Gleb
core +1 more source
Molecular Oncology, EarlyView.Nanosecond infrared laser (NIRL) low‐volume sampling combined with shotgun lipidomics uncovers distinct lipidome alterations in oropharyngeal squamous cell carcinoma (OPSCC) of the palatine tonsil. Several lipid species consistently differentiate tumor from healthy tissue, highlighting their potential as diagnostic markers.
Leonard Kerkhoff +11 more
wiley +1 more source