Table_1_Distinctive Oculomotor Behaviors in Alzheimer's Disease and Frontotemporal Dementia.DOCX by Carmen Lage (9402135)

“…Oculomotor correlates of neuropsychology and brain metabolism evaluated with 18F-FDG PET were explored. …”

Data Sheet 1_Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course.pdf by Handityo Aulia Putra (21430112)

“…Additional factors, such as neuronal connectivity assessed by functional MRI, may improve predictive accuracy. Nonetheless, MRI-based assessment of brain structure can enhance our understanding of the neural mechanisms underlying driving safety and inform strategies to prevent traffic accidents among older adults.…”

Data_Sheet_1_Differential Effects of Sustained Manual Pressure Stimulation According to Site of Action.docx by Pavel Hok (6987533)

“…Subsequently, a clustering algorithm was used to separate areas with differential timecourses. …”

Table1_Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme.XLSX by Xudong Zhang (420437)

“…Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. …”

Table4_Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme.XLSX by Xudong Zhang (420437)

“…Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. …”

Table2_Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme.XLS by Xudong Zhang (420437)

“…Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. …”

Table5_Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme.XLSX by Xudong Zhang (420437)

“…Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. …”

Table3_Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme.XLSX by Xudong Zhang (420437)

“…Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. …”

Image1_Modulation of Tumor Immune Microenvironment and Prognostic Value of Ferroptosis-Related Genes, and Candidate Target Drugs in Glioblastoma Multiforme.PNG by Xudong Zhang (420437)

“…Our study established the ferroptosis-related prognostic model for GBM patients based on ten key genes by a different modeling method from previous study, the GSVA algorithm. Further, we took the methods of functional enrichment analysis, clinical characteristics, immune cell infiltration, immunomodulator, ESTIMATE and single nucleotide variant (SNV) analysis to study the molecular mechanisms of prognostic model and key genes. …”

Table_1_SARS-CoV-2 induces “cytokine storm” hyperinflammatory responses in RA patients through pyroptosis.docx by Qingcong Zheng (11169094)

“…</p>Methods<p>We obtained the common gene shared by COVID-19, RA (GSE55235), and pyroptosis using bioinformatics analysis and then did the principal component analysis(PCA). The Co-genes were evaluated by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and ClueGO for functional enrichment, the protein-protein interaction (PPI) network was built by STRING, and the k-means machine learning algorithm was employed for cluster analysis. …”

Table_2_SARS-CoV-2 induces “cytokine storm” hyperinflammatory responses in RA patients through pyroptosis.docx by Qingcong Zheng (11169094)

“…</p>Methods<p>We obtained the common gene shared by COVID-19, RA (GSE55235), and pyroptosis using bioinformatics analysis and then did the principal component analysis(PCA). The Co-genes were evaluated by Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and ClueGO for functional enrichment, the protein-protein interaction (PPI) network was built by STRING, and the k-means machine learning algorithm was employed for cluster analysis. …”

UMAHand: Hand Activity Dataset (Universidad de Málaga) by Eduardo Casilari (3333906)

“…</p><p dir="ltr">Finally, the SCRIPTS subfolder comprises two scripts written in Python and Matlab. These two programs (named Load_traces), which perform the same function, are designed to automate the downloading and processing of the data. …”

Polygon vector map distortion for increasing the readability of one-to-many flow maps: data and codes by Laetitia Viau (14057463)

“…This directory contains: </p> <p>- README file,</p> <p>- server.py: can be run from the command line to create a local server (`python3 server.py or python server.py`). This is not mandatory, it is possible to use any other solution to create a local server. …”

Data Sheet 3_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…Two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and Boruta, were employed to isolate SCI-associated feature genes. …”

Data Sheet 2_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…Two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and Boruta, were employed to isolate SCI-associated feature genes. …”

Data Sheet 1_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…Two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and Boruta, were employed to isolate SCI-associated feature genes. …”

Data Sheet 4_Identification and validation of biomarkers associated with mitochondrial dysfunction and ferroptosis in rat spinal cord injury.csv by Jingliang Zhu (20889605)

“…Two machine learning algorithms, least absolute shrinkage and selection operator (LASSO) and Boruta, were employed to isolate SCI-associated feature genes. …”

Data_Sheet_2_EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis.xlsx by Jianwei Shi (705226)

“…Background<p>At the intersection of neural monitoring and decoding, event-related potential (ERP) based on electroencephalography (EEG) has opened a window into intrinsic brain function. The stability of ERP makes it frequently employed in the field of neuroscience. …”

Data_Sheet_1_EPAT: a user-friendly MATLAB toolbox for EEG/ERP data processing and analysis.xlsx by Jianwei Shi (705226)

“…Background<p>At the intersection of neural monitoring and decoding, event-related potential (ERP) based on electroencephalography (EEG) has opened a window into intrinsic brain function. The stability of ERP makes it frequently employed in the field of neuroscience. …”

Landscape17 by Vlad Carare (22092515)

“…</p><p dir="ltr">We utilized TopSearch, an open-source Python package, to perform landscape exploration, at an estimated cost of 10⁵CPUh. …”