Table_1_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.XLSX by Yufeng Guo (563481)

“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”

Image_4_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF by Yufeng Guo (563481)

“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”

Data_Sheet_2_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.CSV by Yufeng Guo (563481)

“…In the MRSB high-risk group, the hazard curve exhibited an initial wide, high peak within 10 months after treatment, whereas some gentle peaks around 2 years were noted. …”

DataSheet1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.docx by Yutong Fang (16621143)

“…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …”

Table1_Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.xlsx by Yutong Fang (16621143)

“…Moreover, leveraging the GSE102484 dataset, we conducted differential gene expression analysis to identify MRGs related to metastasis, subsequently developing metastasis models via 10 distinct machine-learning algorithms and then selecting the best-performing model. …”

Table2_YinChen WuLing powder attenuates non-alcoholic steatohepatitis through the inhibition of the SHP2/PI3K/NLRP3 pathway.xlsx by Xingxing Yuan (6615878)

“…Through analytic integration with multiple algorithms, PTPN11 (also known as SHP2) emerged as a core target of YCWLP in mitigating NASH. …”

Table1_YinChen WuLing powder attenuates non-alcoholic steatohepatitis through the inhibition of the SHP2/PI3K/NLRP3 pathway.pdf by Xingxing Yuan (6615878)

“…Through analytic integration with multiple algorithms, PTPN11 (also known as SHP2) emerged as a core target of YCWLP in mitigating NASH. …”

Table_1_Characterizing mitochondrial features in osteoarthritis through integrative multi-omics and machine learning analysis.docx by Yinteng Wu (14825398)

“…We utilized single-sample gene set enrichment analysis (ssGSEA), gene set enrichment analysis (GSEA), and weighted gene co-expression network analysis (WGCNA) analyses to explore the functional mechanisms associated with these genes. Seven machine learning algorithms were utilized to identify hub mitochondria-related genes and develop a predictive model. …”

Data_Sheet_1_Minigene Splicing Assays Identify 12 Spliceogenic Variants of BRCA2 Exons 14 and 15.PDF by Eugenia Fraile-Bethencourt (3860176)

“…While bioinformatics predictions of splice site variants were accurate, those of enhancer or silencer variants were poor (only 3/23 spliceogenic variants) which showed weak impacts on splicing (∼5–16% of aberrant isoforms). So, the Exonic Splicing Enhancer and Silencer (ESE and ESS, respectively) prediction algorithms require further improvement.…”

Data from "Minigene splicing assays identify 12 spliceogenic variants of BRCA2 exons 14 and 15" by Eladio Andrés Velasco (3369893)

“…While bioinformatics predictions of splice site variants were accurate, those of enhancer or silencer variants were poor (only 3/23 spliceogenic variants) with weak impacts on splicing (~5 to 16% of aberrant isoforms). So, the ESE/ESS prediction algorithms require further improvement.…”