Results 21 to 30 of about 80,617 (218)

Parallel workflows for data-driven structural equation modeling in functional neuroimaging

Frontiers in Neuroinformatics, 2009
We present a computational framework suitable for a data-driven approach to structural equation modeling (SEM) and describe several workflows for modeling functional magnetic resonance imaging (fMRI) data within this framework.
Sarah Kenny, Michael Andric, Steven M Boker, Michael C Neale, Michael Wilde, Michael Wilde, Steven L Small, Steven L Small, Steven L Small   +8 more
doaj   +1 more source

Computational Thinking Skill of Prospective Mathematics Teachers in Statistic Methods Courses

Tarbiyah: Jurnal Ilmiah Kependidikan
The statistics methods course is compulsory in the Mathematics Study Program, which uses applications according to technological developments, including the SPSS application.
Hidayah Ansori, Juhairiah Juhairiah, Rizki Amalia   +2 more
doaj   +1 more source

Deconvolute individual genomes from metagenome sequences through short read clustering [PDF]

PeerJ, 2020
Metagenome assembly from short next-generation sequencing data is a challenging process due to its large scale and computational complexity. Clustering short reads by species before assembly offers a unique opportunity for parallel downstream assembly of
Kexue Li, Yakang Lu, Li Deng, Lili Wang, Lizhen Shi, Zhong Wang   +5 more
doaj   +2 more sources

DDoS Attack Detection Model Based on Statistics and Ensemble Autoencoders in SDN [PDF]

Jisuanji kexue
Software-defined networking(SDN) is a novel network architecture that provides fine-grained centralized network management services.It is characterized by control and forwarding separation,centralized control,and open interface characteristics.Due to the
LI Chunjiang, YIN Shaoping, CHI Haotian, YANG Jing, GENG Haijun
doaj   +1 more source

Optimal Estimation of Large Functional and Longitudinal Data by Using Functional Linear Mixed Model

Mathematics, 2022
The estimation of large functional and longitudinal data, which refers to the estimation of mean function, estimation of covariance function, and prediction of individual trajectory, is one of the most challenging problems in the field of high ...
Mengfei Ran, Yihe Yang
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

On the estimation for product of covariance matrices and its trace

四川大学学报. 自然科学版, 2020
In many statistical inference problems involving two populations respectively with covariance matrices and its trace need to be estimated. In this paper, some existing estimators are shown to be equal besides different computational complexities after ...
Shen Jie-Qiong, Zhou Jie, Chen Chen
doaj  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Spatial and Volumetric Characteristics of Glioblastoma: Associations With Clinical Presentation and Survival

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou, Marc Jaskir, Julian Gal, Yombe Fonkeu, Christos Davatzikos, MacLean P. Nasrallah, Jose Garcia, Rubo Xing, Stephen J. Bagley, Arati Desai, Richard E. Phillips, Steven Tobochnik, Colin A. Ellis, James J. Gugger, Nishant Sinha, Joel M. Stein, Kathryn A. Davis   +16 more
wiley   +1 more source