Search Results - "Data analysis"

Subject adaptation network for EEG data analysis by Ming, Yurui, Ding, Weiping, Pelusi, Danilo, Wu, Dongrui, Wang, Yu-Kai, Prasad, Mukesh, Lin, Chin-Teng

“…Biosignals tend to display manifest intra- and cross-subject variance, which generates numerous challenges for electroencephalograph (EEG) data analysis…”
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Data analysis with Shapley values for automatic subject selection in Alzheimer’s disease data sets using interpretable machine learning by Bloch, Louise, Friedrich, Christoph M.

“…Background For the recruitment and monitoring of subjects for therapy studies, it is important to predict whether mild cognitive impaired (MCI…”
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Avoiding non-independence in fMRI data analysis: Leave one subject out by Esterman, Michael, Tamber-Rosenau, Benjamin J., Chiu, Yu-Chin, Yantis, Steven

“…Concerns regarding certain fMRI data analysis practices have recently evoked lively debate…”
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Ten simple rules for initial data analysis by Baillie, Mark, le Cessie, Saskia, Schmidt, Carsten Oliver, Lusa, Lara, Huebner, Marianne

“…Typically, researchers do not perform IDA in a systematic way, if at all, or mix IDA activities with subsequent data analysis tasks such as hypothesis generation or exploration, formal analysis…”
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Group information guided ICA for fMRI data analysis by Du, Yuhui, Fan, Yong

“…Group independent component analysis (ICA) has been widely applied to studies of multi-subject fMRI data for computing subject specific independent components with correspondence across subjects…”
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Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data Analysis by Du, Yuhui, Huang, Chen, Calhoun, Vince D.

“…) and associated neuroimaging measures from multi-subject functional magnetic resonance imaging (fMRI) data. However, the inherent noise in fMRI data can adversely affect…”
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Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis by Iqbal, Asif, Seghouane, Abd-Krim, Adali, Tulay

“… In this paper, we propose a DL algorithm for multisubject fMRI data analysis. Methods: The proposed algorithm…”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis by Mulenga, Mwenge, Rajamanikam, Arutchelvan, Kumar, Suresh, Muhammad, Saharuddin bin, Bhassu, Subha, Samudid, Chandramathi, Sabri, Aznul Qalid Md, Seera, Manjeevan, Eke, Christopher Ifeanyi

“…The emergence of Next Generation Sequencing (NGS) technology has catalyzed a paradigm shift in clinical diagnostics and personalized medicine, enabling…”
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Group task-related component analysis (gTRCA): a multivariate method for inter-trial reproducibility and inter-subject similarity maximization for EEG data analysis by Tanaka, Hirokazu

“…EEG is known to contain considerable inter-trial and inter-subject variability, which poses a challenge in any group-level EEG analyses…”
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Functional data analysis of the full-body kinematics during a step-up task in subjects with and without low back pain: A cross-sectional study by Rastgar, Bahar, Arab, Amir Massoud, Khademi-Kalantari, Khosro, Amini-Farsani, Zahra, Shavehei, Yaghoub

“…•The results show importance of multi-segmental spine evaluation during functional activities.•The decreased sagittal-plane movement in some regions of the…”
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Brainpack: a suite of advanced statistical techniques for multi-subject and multi-group fMRI data analysis by Samaddar, Arunava, Jackson, Brooke S., Lazar, Nicole A., McDowell, Jennifer E., Park, Cheolwoo

“… Also, researchers are interested in drawing conclusions from a sample of subjects to a relevant population, and in comparing the performance between groups of people…”
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Persisting exercise ventilatory inefficiency in subjects recovering from COVID-19. Longitudinal data analysis 34 months post-discharge by Dorelli, Gianluigi, Sartori, Giulia, Fasoli, Giulia, Ridella, Nicolò, Bianchini, Nicola, Braggio, Michele, Ferrari, Marcello, Venturelli, Massimo, Carbonare, Luca Dalle, Capelli, Carlo, Grassi, Bruno, Crisafulli, Ernesto

“… Methods In a longitudinal study on 32 selected post-COVID subjects, we performed two cardiopulmonary exercise tests (CPETs) at 6 months (T0) and 34 months (T1…”
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The Eight Steps of Data Analysis: A Graphical Framework to Promote Sound Statistical Analysis by Fife, Dustin

“…Data analysis is a risky endeavor, particularly among people who are unaware of its dangers…”
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Enhanced design matrix for task-related fMRI data analysis by Morante, Manuel, Kopsinis, Yannis, Chatzichristos, Christos, Protopapas, Athanassios, Theodoridis, Sergios

“…•A novel methodology to enhance the standard design matrix is proposed within the GLM framework for task-related fMRI data analysis…”
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Models Data Analysis of the Subject’s Lifelong Learning by Manako, Alla F., Manako, Volodymyr V.

“…Introduction. The modeling of a complex object “data analysis of learning of the subject throughout life…”
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Multiset FMRI Data Analysis with Subject Group Information using Structured Dictionary Learning by Xu, Shuai, Jin, Rui, Kim, Seung-Jun, Calhoun, Vince D., Adali, Tulay

“…) data sets is developed. The algorithm can incorporate subject group information to extract neural activation maps indicative of the group differences and the maps shared across groups…”
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DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI by Yan

“… However, user-friendly toolbox for "pipeline" data analysis of resting-state fMRI is still lacking…”
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Small sample sizes: A big data problem in high-dimensional data analysis by Konietschke, Frank, Schwab, Karima, Pauly, Markus

“…In many experiments and especially in translational and preclinical research, sample sizes are (very) small. In addition, data designs are often high…”
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A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis by Vu, Trung, Yang, Hanlu, Laport, Francisco, Gabrielson, Ben, Calhoun, Vince D., Adali, Tulay

“…Joint blind source separation (JBSS) is a powerful framework for extracting latent sources from multiple datasets while keeping their coherence across multiple…”
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Grouped Generalized Estimating Equations for Longitudinal Data Analysis by Ito, Tsubasa, Sugasawa, Shonosuke

“…Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects…”
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