Distribution of cross correlations in functional connectivity in ABIDE sample. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Analysis of ABIDE dataset: Conventional regression frameworks for optimized algorithmic value. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Linear kernel: Power and Type I error for cluster evaluation metric simulations. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Workflow of algorithm for whole brain flow simulation. حسب Erlend Hodneland (391541)

Logistic kernel: Power and Type I error for cluster evaluation metric simulations. حسب Alexandria M. Jensen (6494957)

الموضوعات:

ABIDE dataset subject demographics. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Examples of between- and within-community Beta distributions. حسب Alexandria M. Jensen (6494957)

الموضوعات:

P-values from analysis of ABIDE dataset for binary outcome of diagnostic group. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Examples of four simulated networks and adjacency matrices. حسب Alexandria M. Jensen (6494957)

الموضوعات:

P-values from analysis of ABIDE dataset for continuous outcome of VIQ. حسب Alexandria M. Jensen (6494957)

الموضوعات:

Model parameter estimates and standard errors for pooled-ERGM analysis of brain functional connectivity networks. حسب Fan Yin (170408)

MAP estimates and posterior standard deviations, conjugate Bayesian analysis of brain functional connectivity networks. حسب Fan Yin (170408)

Listed python codes of our algorithm with explanations (Python 3.9 recommended). حسب Takayuki Niizato (162226)

Correlation between the BNA neuromarker linear scores and the mUPDRS scores. حسب Sharon Hassin-Baer (420354)

الموضوعات:

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"

Data_Sheet_1_Developmental Changes in Dynamic Functional Connectivity From Childhood Into Adolescence.pdf حسب Mónica López-Vicente (3980462)

"…However, research utilizing repeated measurements remains scarce. Resting-state functional magnetic resonance imaging (MRI) studies have traditionally examined connectivity as ‘static’ during the measurement period. …"

Python-based Monte Carlo Simulation Tool حسب Yangfan Jiang (9372782)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"

Linear interpolation dimension expansion algorithm flowchart. حسب Yuhang Zhang (3144870)

Functional profiling of GS height <i>preserved</i> modules with cumulative evidence for genomic risk effect on co-expression. حسب Eugenia Radulescu (319733)