Results 51 to 60 of about 2,919,066 (271)

A boosting method for maximizing the partial area under the ROC curve

open access: yesBMC Bioinformatics, 2010
Background The receiver operating characteristic (ROC) curve is a fundamental tool to assess the discriminant performance for not only a single marker but also a score function combining multiple markers.
Eguchi Shinto, Komori Osamu
doaj   +1 more source

Identification of serum protein biomarkers for pre‐cancerous lesions associated with pancreatic ductal adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns   +10 more
wiley   +1 more source

Monitoring Livestock Health by Modeling Rumination Behavior According to Accelerometer-Based Information [PDF]

open access: yesJournal of Agricultural Machinery
IntroductionThe livestock sector excels in the production of dairy and meat products. These products, serving as vital sources of animal protein, hold a significant position in household diets.
E. Vahedi Tekmehdash   +4 more
doaj   +1 more source

NKCC1: A key regulator of glioblastoma progression

open access: yesMolecular Oncology, EarlyView.
Glioblastoma (GBM) progression is driven by disrupted chloride cotransporter homeostasis. NKCC1 is highly expressed in stem‐like, astrocytic, and progenitor cells, correlating with earlier recurrence, while overall survival remains unaffected. NKCC1 serves as a prognostic marker and potential therapeutic target, linking chloride transporter imbalance ...
Anja Thomsen   +5 more
wiley   +1 more source

Interrelationships Among Sensitivity, Precision, Accuracy, Specificity and Predictive Values in Bioassays, Represented as Combined ROC Curves with Integrated Cutoff Distribution Curves and Novel Index Values

open access: yesDiagnostics
Background/Objectives: This work introduces accuracy- and precision-ROC curves in addition to SS– and PV–ROC curves and shows a novel means of profiling biomarker characteristics for validation of optimal cutoffs in clinical diagnostics and decision ...
Peter Oehr
doaj   +1 more source

The Perceptibility Ccurve Test Applied to CCD and Two Methods of Digitization of Dental Film-based Radiographs

open access: yesJournal of Dental School, 2019
Objectives: Several methods of image acquisition are accessible in dentistry. There is no overall acceptable method for image digitization so all different types of images can be comparable.
Sima Nikneshan, Behrang Moghaddamzade
doaj   +1 more source

Exploring Features for Predicting Policy Citations

open access: yes, 2017
In this study we performed an initial investigation and evaluation of altmetrics and their relationship with public policy citation of research papers. We examined methods for using altmetrics and other data to predict whether a research paper is cited ...
Alhoori, Hamed   +5 more
core   +1 more source

Precrec: fast and accurate precision–recall and ROC curve calculations in R

open access: yesBioinform., 2016
Summary: The precision–recall plot is more informative than the ROC plot when evaluating classifiers on imbalanced datasets, but fast and accurate curve calculation tools for precision–recall plots are currently not available.
Takaya Saito, Marc Rehmsmeier
semanticscholar   +1 more source

FGFR Like1 drives esophageal cancer progression via EMT, PI3K/Akt, and notch signalling: insights from clinical data and next‐generation sequencing analysis

open access: yesFEBS Open Bio, EarlyView.
Clinical analysis reveals significant dysregulation of FGFRL1 in esophageal cancer (EC) patients. RNAi‐coupled next‐generation sequencing (NGS) and in vitro study reveal FGFRL1‐mediated EC progression via EMT, PI3K/Akt, and Notch pathways. Functional assays confirm its role in tumor growth, migration, and invasion.
Aprajita Srivastava   +3 more
wiley   +1 more source

ROCS: receiver operating characteristic surface for class-skewed high-throughput data. [PDF]

open access: yesPLoS ONE, 2012
The receiver operating characteristic (ROC) curve is an important tool to gauge the performance of classifiers. In certain situations of high-throughput data analysis, the data is heavily class-skewed, i.e.
Tianwei Yu
doaj   +1 more source

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