Fig 7 - حسب Paolo Perlasca (9909695)

الموضوعات:

Top 3-enriched pathways with literature evidence. حسب Paolo Perlasca (9909695)

الموضوعات:

Schematic diagram depicting the <i>in-vitro</i> co-culture model setup. حسب Elias Vera-Siguenza (16993830)

Code snippets to add user-specific custom functionality in PyNoetic. حسب Gursimran Singh (575288)

الموضوعات:

Python implementation from Symplectic decomposition from submatrix determinants حسب Jason L. Pereira (11598632)

"…Python implementation of the algorithm and demonstration of how to use the functions.…"

Overview of the CoRE-ATAC framework. حسب Asa Thibodeau (3164796)

"…In the final step, CoRE-ATAC classifies <i>cis</i>-REs into 4 functional classes: promoter, enhancer, insulator, and other.…"

Identification and functional analysis of hub genes. حسب Wei Ya Lan (22403712)

GraSPy: an Open Source Python Package for Statistical Connectomics حسب Benjamin Pedigo (6580352)

"…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …"

Analysis of weighted co-expression networks in Parkinson’s disease. حسب Lixia Chen (614030)

Growth rate comparison between models and experimental results in mono-culture and co-culture. حسب Elias Vera-Siguenza (16993830)

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms حسب Hossein Mashhadimoslem (11456548)

"…In this research study, we created a data set and collected data points from porous adsorbents (2789) from 21 published papers, including carbon-based, porous polymers, metal–organic frameworks (MOFs), and zeolites, to understand their characteristics for CO₂ adsorption. Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO₂ adsorption performance as a function of characteristics and adsorption isotherm parameters. …"

Modular architecture design of PyNoetic showing all its constituent functions. حسب Gursimran Singh (575288)

الموضوعات:

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

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

Adaptive H-REMD simulation algorithm. حسب Danial Pourjafar-Dehkordi (7165523)

The workflow used to analyze imbalanced and balanced sequences. حسب Solomon Shiferaw Beyene (9143178)

Performances of Naïve Bayes (NB), Multilayer Perceptron (MLP), Random Forest (RF), Gradient Boosting (GB), Support Vector Machine (SVM) and K- Nearest Neighbors (KNN). حسب Solomon Shiferaw Beyene (9143178)

Accuracy, sensitivity, specificity and F-score. حسب Solomon Shiferaw Beyene (9143178)

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. حسب Solomon Shiferaw Beyene (9143178)

Parameter selection for mixture of different cluster sizes. حسب Daniel F. Nino (9745709)