Table 10_Identification of lactylation-related biomarkers in osteoporosis from transcriptome and single-cell data.csv by Jiafeng Peng (22116253)

“…First, the biomarkers associated with OP were identified through differential gene expression analysis, machine learning algorithms, expression validation, and receiver operating characteristic (ROC) curve analysis. …”

Data_Sheet_1_Physiological Network From Anthropometric and Blood Test Biomarkers.PDF by Antonio Barajas-Martínez (8867573)

“…<p>Currently, research in physiology focuses on molecular mechanisms underlying the functioning of living organisms. Reductionist strategies are used to decompose systems into their components and to measure changes of physiological variables between experimental conditions. …”

Supplementary Figures of Association of Gut Microbiota during Early Pregnancy with Risk of Incident Gestational Diabetes Mellitus by Ping Hu (9609038)

“…S4</b> <b>Correlation networks of all 274 genera in GDM and control group. </b>SparCC algorithm was used to assess correlation coefficients and statistical significance. …”

Table2_PolyReco: A Method to Automatically Label Collinear Regions and Recognize Polyploidy Events Based on the KS Dotplot.DOCX by Fushun Wang (5074997)

“…According to the information of the labeled collinear regions on the y-axis, the polyploidization recognition algorithm is used to exhaustively combine and obtain the genetic collinearity evaluation index of each combination, and then draw the genetic collinearity evaluation index graph. …”

Table1_PolyReco: A Method to Automatically Label Collinear Regions and Recognize Polyploidy Events Based on the KS Dotplot.DOCX by Fushun Wang (5074997)

“…According to the information of the labeled collinear regions on the y-axis, the polyploidization recognition algorithm is used to exhaustively combine and obtain the genetic collinearity evaluation index of each combination, and then draw the genetic collinearity evaluation index graph. …”

Table1_Comprehensive analysis for cellular senescence-related immunogenic characteristics and immunotherapy prediction of acute myeloid leukemia.XLSX by Yan Mao (492639)

“…Meanwhile, drug sensitivity analysis and the TIDE algorithm showed that the low-risk score group was more susceptible to chemotherapy and immunotherapy. …”

Image1_Comprehensive analysis for cellular senescence-related immunogenic characteristics and immunotherapy prediction of acute myeloid leukemia.TIF by Yan Mao (492639)

“…Meanwhile, drug sensitivity analysis and the TIDE algorithm showed that the low-risk score group was more susceptible to chemotherapy and immunotherapy. …”

Image2_Comprehensive analysis for cellular senescence-related immunogenic characteristics and immunotherapy prediction of acute myeloid leukemia.TIF by Yan Mao (492639)

“…Meanwhile, drug sensitivity analysis and the TIDE algorithm showed that the low-risk score group was more susceptible to chemotherapy and immunotherapy. …”

DataSheet_1_Fully convolutional neural networks applied to large-scale marine morphology mapping.zip by Riccardo Arosio (5190254)

“…FCNNs are a set of algorithms within Deep Learning that produce pixel-wise classifications in order to create semantically segmented maps. …”

Image_1_Multi-omic validation of the cuproptosis-sphingolipid metabolism network: modulating the immune landscape in osteosarcoma.tif by Qingbiao Li (399550)

“…The ESTIMATE and CIBERSORT algorithms were used to analyze the level of immune cell infiltration within these risk groups to construct the immune landscape. …”

Table_1_Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies.xlsx by Boru Jin (14245421)

“…Four datasets (GSE5281, GSE131617, GSE48350, and GSE84422) with samples of AD frontal cortex are integrated as experimental datasets, and another two datasets (GSE33000 and GSE44772) with samples of AD frontal cortex were used to perform validation analyses. Functional Correlation enrichment analyses were conducted based on Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Reactome database to reveal AD-associated biological functions and key pathways. …”

Data_Sheet_1_Identification of diagnostic biomarkers in Alzheimer’s disease by integrated bioinformatic analysis and machine learning strategies.PDF by Boru Jin (14245421)

“…Four datasets (GSE5281, GSE131617, GSE48350, and GSE84422) with samples of AD frontal cortex are integrated as experimental datasets, and another two datasets (GSE33000 and GSE44772) with samples of AD frontal cortex were used to perform validation analyses. Functional Correlation enrichment analyses were conducted based on Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and the Reactome database to reveal AD-associated biological functions and key pathways. …”

DataSheet5_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet4_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet3_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet10_Integrative analysis of the role of BOLA2B in human pan-cancer.PDF by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet7_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet6_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet1_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”

DataSheet2_Integrative analysis of the role of BOLA2B in human pan-cancer.ZIP by Mingxing Liang (11361621)

“…Clinical survival data from TCGA were used to analyze the prognostic value of BOLA2B. TIMER and ESTIMATE algorithms were used to assess correlations between BOLA2B and tumor-infiltrating immune cells, immune cytokines, and immune scores.…”