Average modulation performance. by Stefan K. Ehrlich (6475490)

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Brain activity modulations during online application in task → happy averaged across participants P01, P04, and P05. by Stefan K. Ehrlich (6475490)

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Granger-causal information flows during task →happy in session S02 jointly computed for P01, P04, P05 (participants with good modulation performance). by Stefan K. Ehrlich (6475490)

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Average quality scores of the models of the analysis set as a function of the <i>w</i>_<i>SP</i> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

Functional modules. by Mehrnaz Shoushtarian (6411299)

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…Hierarchical clustering was computed using the scikit learn module in Python. C) Dendrogram of averaged functional connectivity from healthy subjects. …”

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. by Gursimran Singh (575288)

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

Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Performance of SVM model for various kernel functions. by Xueliang Guo (4797057)

PyNoetic’s feature extraction module that supports time domain features, frequency domain features, time-frequency domain features, spatial features as well as Brain Connectivity m... by Gursimran Singh (575288)

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Data_Sheet_1_Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain.pdf by Xue Zhang (166886)

Correlation analysis results. by Stefan K. Ehrlich (6475490)

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A closed-loop, music-based brain-computer interface for emotion mediation - Fig 4 by Stefan K. Ehrlich (6475490)

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Image_1_Test-retest reliability of modular-relevant analysis in brain functional network.PDF by Xuyun Wen (414454)

“…Considering the repeatability of network partition depends heavily on network size and module detection algorithm, we constructed three types of brain functional networks for each subject by using a set of coarse-to-fine brain atlases and adopted four methods for single-subject module detection and twelve methods for group-level module detection.…”

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

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