Results 31 to 40 of about 6,800,650 (283)

Increased BMI and Blood Lipids Are Associated With a Hypercoagulable State in the Moli-sani Cohort

Frontiers in Cardiovascular Medicine, 2022
The coagulation system can be assessed by the thrombin generation (TG) assay, and increased TG peak height, endogenous thrombin potential (ETP), and velocity index are associated with an increased risk of thrombosis. Obesity had been reported to increase
Romy de Laat-Kremers, Augusto Di Castelnuovo, Lisa van der Vorm, Simona Costanzo, Marisa Ninivaggi, Chiara Cerletti, Dana Huskens, Dana Huskens, Amalia De Curtis, Alessandro Gialluisi, Alessandro Gialluisi, Cuicui Bai, Cuicui Bai, Giovanni de Gaetano, Dongmei Yin, Maria Benedetta Donati, Bas de Laat, Bas de Laat, Bas de Laat, Licia Iacoviello, Licia Iacoviello, The Moli-sani Investigators   +21 more
doaj   +1 more source

Object-Oriented Software for Functional Data

Journal of Statistical Software, 2020
This paper introduces the funData R package as an object-oriented implementation of functional data. It implements a unified framework for dense univariate and multivariate functional data on one- and higher dimensional domains as well as for irregular ...
Clara Happ-Kurz
doaj   +1 more source

Fusion gene detection by RNA-sequencing complements diagnostics of acute myeloid leukemia and identifies recurring NRIP1-MIR99AHG rearrangements

Haematologica, 2021
Identification of fusion genes in clinical routine is mostly based on cytogenetics and targeted molecular genetics, such as metaphase karyotyping, fluorescence in situ hybridization and reverse-transcriptase polymerase chain reaction.
Paul Kerbs, Sebastian Vosberg, Stefan Krebs, Alexander Graf, Helmut Blum, Anja Swoboda, Aarif M. N. Batcha, Ulrich Mansmann, Dirk Metzler, Caroline A. Heckman, Tobias Herold, Philipp A. Greif   +11 more
doaj   +1 more source

Investigation on the Alteration of Brain Functional Network and Its Role in the Identification of Mild Cognitive Impairment

Frontiers in Neuroscience, 2020
Mild cognitive impairment (MCI) is generally regarded as a prodromal stage of Alzheimer’s disease (AD). In coping with the challenges caused by AD, we analyzed resting-state functional magnetic resonance imaging data of 82 MCI subjects and 93 normal ...
Lulu Zhang, Huangjing Ni, Zhinan Yu, Jun Wang, Jiaolong Qin, Fengzhen Hou, Albert Yang, Alzheimer’s Disease Neuroimaging Initiative (ADNI)   +7 more
doaj   +1 more source

Functional principal component analysis of spatially correlated data [PDF]

, 2016
This paper focuses on the analysis of spatially correlated functional data. We propose a parametric model for spatial correlation and the between-curve correlation is modeled by correlating functional principal component scores of the functional data ...
Hooker, Giles, Liu, Chong, Ray, Surajit
core   +1 more source

Functional Data Analysis with Increasing Number of Projections [PDF]

, 2013
Functional principal components (FPC's) provide the most important and most extensively used tool for dimension reduction and inference for functional data.
Fremdt, Stefan, Horváth, Lajos, Kokoszka, Piotr, Steinebach, Josef G.   +3 more
core   +2 more sources

An improved parser for data-oriented lexical-functional analysis [PDF]

, 2000
We present an LFG-DOP parser which uses fragments from LFG-annotated sentences to parse new sentences. Experiments with the Verbmobil and Homecentre corpora show that (1) Viterbi n best search performs about 100 times faster than Monte Carlo search while
Bod, Rens
core   +3 more sources

Exploratory Analysis of Functional Data via Clustering and Optimal Segmentation [PDF]

, 2010
We propose in this paper an exploratory analysis algorithm for functional data. The method partitions a set of functions into $K$ clusters and represents each cluster by a simple prototype (e.g., piecewise constant).
Abraham, Auger, Bellman, Bernard Hugueney, Coifman, Cottrell, Cottrell, Devroye, Fabrice Rossi, Frappart, Georges Hébrail, Healey, Huber, Jackson, Krier, Lin, Picard, Ramsay, Rose, Rossi, Saito, Stone, Tikhonov, Yves Lechevallier   +23 more
core   +3 more sources

Investigating the value of glucodensity analysis of continuous glucose monitoring data in type 1 diabetes: an exploratory analysis

Frontiers in Clinical Diabetes and Healthcare, 2023
IntroductionContinuous glucose monitoring (CGM) devices capture longitudinal data on interstitial glucose levels and are increasingly used to show the dynamics of diabetes metabolism.
Elvis Han Cui, Allison B. Goldfine, Michelle Quinlan, David A. James, Oleksandr Sverdlov   +4 more
doaj   +1 more source

Functional Data Analysis of Dynamic PET Data [PDF]

Journal of the American Statistical Association, 2018
One application of positron emission tomography (PET), a nuclear imaging technique, in neuroscience involves in vivo estimation of the density of various proteins (often, neuroreceptors) in the brain. PET scanning begins with the injection of a radiolabeled tracer that binds preferentially to the target protein; tracer molecules are then continuously ...
Yakuan Chen, Jeff Goldsmith, R. Todd Ogden   +2 more
openaire   +2 more sources