Table6_Definition of immune molecular subtypes with distinct immune microenvironment, recurrence, and PANoptosis features to aid clinical therapeutic decision-making.XLSX by Sufeng Qiang (13200538)

“…The abundance of immune cells was inferred via five algorithms. Immune functions and signatures were quantified through ssGSEA. …”

Image1_Definition of immune molecular subtypes with distinct immune microenvironment, recurrence, and PANoptosis features to aid clinical therapeutic decision-making.TIF by Sufeng Qiang (13200538)

“…The abundance of immune cells was inferred via five algorithms. Immune functions and signatures were quantified through ssGSEA. …”

Hospital (A) views the received messages. by Albatoul Almohana (20370514)

“…Therefore, this paper introduces a pioneering Blockchain-based Unified Medical Consultancy Service (B-UMCS) that leverages blockchain’s robustness to revolutionize telehealth services by (a) alleviating the shortage of medical expertise through facilitating the interconnection of physicians from diverse hospitals and geographical areas onto a consolidated platform, (b) promoting the seamless sharing of medical consultations, electronic health records (EHRs), and expert insights while upholding rigorous security and privacy protocols, (c) integrating the inherent security mechanisms of blockchain with the distributed data storage functionality offered by the Interplanetary File System (IPFS). …”

Data_Sheet_1_EEG phase synchronization during absence seizures.pdf by Pawel Glaba (11040603)

“…The overlap of the ictal and interictal probability density functions was high enough to preclude effective seizure detection based solely on changes in EEG synchronization. …”

DataSheet_2_Upregulation of IGF2BP2 Promotes Oral Squamous Cell Carcinoma Progression That Is Related to Cell Proliferation, Metastasis and Tumor-Infiltrating Immune Cells.xlsx by Lijie Zhou (549763)

“…Gene set enrichment analysis (GSEA) showed that IGF2BP2 led to a poor prognosis in OSCC by affecting cancer-related (epithelial-mesenchymal transition, glycolysis, cell cycle, etc.) and immune-related biological functions and pathways. Single-sample GSEA (ssGSEA), CIBERSORT, and xCell algorithms helped reveal that high IGF2BP2 expression was accompanied by a significant reduction in the immune score, stromal score, and microenvironment score and a decrease in the number of infiltrating CD8+ T cells in OSCC. …”

Table3_Identification of 4 autophagy-related genes in heart failure by bioinformatics analysis and machine learning.xlsx by Xiwei Deng (17862584)

“…We employed machine learning algorithms to conduct a thorough screening of significant genes and validated these genes by analyzing external dataset GSE76701 and conducting mouse models experimentation. …”

FCP dataset for forecasting temperature, PV, price, and load by Hanwen Zhang (18259666)

“…</p><p dir="ltr">• To design and develop data-driven algorithms for accurate and reliable charging supplydemand forecasting and cost-optimal scheduling with large-volume and high-resolution data.…”

Image1_Characterizing hedgehog pathway features in senescence associated osteoarthritis through Integrative multi-omics and machine learning analysis.TIF by Tao Wang (12008)

“…Perform GSEA to investigate functional implications of identified Hedgehog-associated genes. …”

Data_Sheet_2_Comprehensive analysis of the diagnostic and therapeutic value, immune infiltration, and drug treatment mechanisms of GTSE1 in lung adenocarcinoma.docx by Guanqiang Yan (18472116)

“…Subsequently, the prognostic ability of GTSE1 was evaluated based on clinical follow-up data using methods such as using univariate, multivariate, and prognostic meta-analysis. …”

Table 1_Development of an alkaliptosis-related lncRNA risk model and immunotherapy target analysis in lung adenocarcinoma.docx by Xiang Xiong (1810234)

“…</p>Methods<p>The TCGA database was utilized to obtain RNA-seq-based transcriptome profiling data, clinical information, and mutation data. …”

Data_Sheet_1_Optimizing Spatio-Temporal Allocation of the COVID-19 Vaccine Under Different Epidemiological Landscapes.pdf by Wen Cao (696121)

“…This model was combined with optimization algorithms to determine the near-optimal spatio-temporal allocation for vaccines with different effectiveness and coverage. …”

Identification of potential circadian rhythm-related hub genes and immune infiltration in preeclampsia through bioinformatics analysis by Juan Tang (437969)

“…</p> <p>CRH and LEP were identified as circadian rhythm-related hub genes with strong diagnostic value. Molecular subtyping based on their expression revealed two PE subtypes with distinct immune infiltration patterns and biological functions. …”

Image3_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

“…The m6A phenotypic-cluster revealed differences in regulator transcriptional level, gene mutation frequency, functional pathways, and immune cell infiltration abundance under distinct m6A patterns. …”

Table_2_Learning From Biological and Computational Machines: Importance of SARS-CoV-2 Genomic Surveillance, Mutations and Risk Stratification.xlsx by Shikha Bhat (11875556)

“…Out of five different ML algorithms tested to predict patient severity, the multi-layer perceptron-based model performed the best, with a receiver operating characteristic (ROC) score of 0.96 and an F1 score of 0.791. …”

DataSheet_1_Learning From Biological and Computational Machines: Importance of SARS-CoV-2 Genomic Surveillance, Mutations and Risk Stratification.pdf by Shikha Bhat (11875556)

“…Out of five different ML algorithms tested to predict patient severity, the multi-layer perceptron-based model performed the best, with a receiver operating characteristic (ROC) score of 0.96 and an F1 score of 0.791. …”

Image5_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

“…The m6A phenotypic-cluster revealed differences in regulator transcriptional level, gene mutation frequency, functional pathways, and immune cell infiltration abundance under distinct m6A patterns. …”

Image1_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

“…The m6A phenotypic-cluster revealed differences in regulator transcriptional level, gene mutation frequency, functional pathways, and immune cell infiltration abundance under distinct m6A patterns. …”

DataSheet_1_Learning From Biological and Computational Machines: Importance of SARS-CoV-2 Genomic Surveillance, Mutations and Risk Stratification.pdf by Shikha Bhat (11875556)

“…Out of five different ML algorithms tested to predict patient severity, the multi-layer perceptron-based model performed the best, with a receiver operating characteristic (ROC) score of 0.96 and an F1 score of 0.791. …”

Image6_M6A regulator-mediated immune infiltration and methylation modification in hepatocellular carcinoma microenvironment and immunotherapy.TIF by Kun Zhao (279513)

“…The m6A phenotypic-cluster revealed differences in regulator transcriptional level, gene mutation frequency, functional pathways, and immune cell infiltration abundance under distinct m6A patterns. …”

Table_1_Learning From Biological and Computational Machines: Importance of SARS-CoV-2 Genomic Surveillance, Mutations and Risk Stratification.xlsx by Shikha Bhat (11875556)

“…Out of five different ML algorithms tested to predict patient severity, the multi-layer perceptron-based model performed the best, with a receiver operating characteristic (ROC) score of 0.96 and an F1 score of 0.791. …”