Table of the database statistical measures. حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Tweets information. حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Examples of tweets texts (Portuguese). حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Methodological flowchart. حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Examples of tweets texts (English). حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Users information. حسب Sylvia Iasulaitis (8301189)

"…The process of collecting and creating the database for this study went through three major stages, subdivided into several processes: (1) A preliminary analysis of the platform and its operation; (2) Contextual analysis, creation of the conceptual model, and definition of Keywords and (3) Implementation of the Data Collection Strategy. Python algorithms were developed to model each primary collection type. …"

Examples of insights derived from iModulons. حسب Anand V. Sastry (6619310)

Introduction to the iModulonMiner using public <i>B</i>. <i>subtilis</i> RNA-seq data as a case study. حسب Anand V. Sastry (6619310)

Overview of the <i>B</i>. <i>subtilis</i> iModulon structure. حسب Anand V. Sastry (6619310)

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

"…Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. …"

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

"…Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. …"

BaNDyT: Bayesian Network Modeling of Molecular Dynamics Trajectories حسب Elizaveta Mukhaleva (20602550)

"…Bayesian network modeling (BN modeling, or BNM) is an interpretable machine learning method for constructing probabilistic graphical models from the data. In recent years, it has been extensively applied to diverse types of biomedical data sets. …"

Application to Drosophila gastrulation. حسب Sophie Theis (4126453)

CSMILES: A Compact, Human-Readable SMILES Extension for Conformations حسب James W. Furness (22319738)

"…As such, canonical CSMILES strings are invariant to atom reordering, rigid translation, and rigid rotation. A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …"

CSMILES: A Compact, Human-Readable SMILES Extension for Conformations حسب James W. Furness (22319738)

"…As such, canonical CSMILES strings are invariant to atom reordering, rigid translation, and rigid rotation. A two-way conversion from three-dimensional (3D) structure to CSMILES has been implemented, and the article is accompanied by a Python code which effectuates such conversions. …"

Estimating dopamine effects on humans. حسب Domenico Guarino (20428000)

The format of the electrode csv file حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"

The format of the simulation reports حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"

Comparison of BlueRecording with existing tools حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"