Main tasks supported by the proposed UNIPred-Web upgrade. by Paolo Perlasca (9909695)

Subjects:

A comparison of visual tools for the exploration of biomolecular networks. by Paolo Perlasca (9909695)

Subjects:

Starting point of the community-based navigation. by Paolo Perlasca (9909695)

Subjects:

Fig 7 - by Paolo Perlasca (9909695)

Subjects:

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

Subjects:

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

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

Subjects:

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

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

Overview of the CoRE-ATAC framework. by 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. by Wei Ya Lan (22403712)

GraSPy: an Open Source Python Package for Statistical Connectomics by 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. by Lixia Chen (614030)

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

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by 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. by Gursimran Singh (575288)

Subjects:

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)

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

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