Table_2_Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinica... by Xiaoming Wang (187053)

“…We used the “maftools” R package to display the mutation profiles between the high and low COL10A1 groups. …”

Table_3_Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinica... by Xiaoming Wang (187053)

“…We used the “maftools” R package to display the mutation profiles between the high and low COL10A1 groups. …”

Image_3_Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinica... by Xiaoming Wang (187053)

“…We used the “maftools” R package to display the mutation profiles between the high and low COL10A1 groups. …”

Image 2_Characterization of cancer-related fibroblasts in bladder cancer and construction of CAFs-based bladder cancer classification: insights from single-cell and multi-omics ana... by Zhaokai Zhou (15239078)

“…</p>Materials and methods<p>Signal-cell RNA sequencing (scRNA-seq) datasets were used to identify CAF subpopulations in BLCA, and bulk RNA-seq datasets were used to construct CAFs-based BLCA classification. …”

Table_1_Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinica... by Xiaoming Wang (187053)

“…We used the “maftools” R package to display the mutation profiles between the high and low COL10A1 groups. …”

Image_1_Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinica... by Xiaoming Wang (187053)

“…We used the “maftools” R package to display the mutation profiles between the high and low COL10A1 groups. …”

Image_1_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF by Yufeng Guo (563481)

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

Image_2_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF by Yufeng Guo (563481)

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

Image_3_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.TIF by Yufeng Guo (563481)

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

Data_Sheet_1_A Novel CpG Methylation Risk Indicator for Predicting Prognosis in Bladder Cancer.CSV by Yufeng Guo (563481)

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

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

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

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

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

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

“…</p>Results<p>After incorporating the CpGs obtained by the two algorithms, CpG methylation of eight genes corresponding to TNFAIP8L3, KRTDAP, APC, ZC3H3, COL9A2, SLCO4A1, POU3F3, and ADARB2 were prominent candidate predictors in establishing a methylation risk score for BLCA (MRSB), which was used to divide the patients into high- and low-risk progression groups (p < 0.001). …”

DataSheet_1_Prognostic and Predictive Value of m6A “Eraser” Related Gene Signature in Gastric Cancer.docx by Xin Xu (11989)

“…Kaplan-Meier method was used for survival analysis. A nomogram model was then carried out to predict the prognosis of GC patients. …”

DataSheet1_PSF toolkit: an R package for pathway curation and topology-aware analysis.PDF by Siras Hakobyan (6638330)

“…The results demonstrate that the algorithm can effectively identify ORA enriched pathways while providing more detailed branch-level information. …”

Video2_Streamlined single-molecule RNA-FISH of core clock mRNAs in clock neurons in whole mount Drosophila brains.AVI by Ye Yuan (531126)

“…We combined our segmentation model with a spot counting algorithm to detect Clock mRNA spots in individual clock neurons. …”

Table_1_Integrated analysis of endoplasmic reticulum stress regulators’ expression identifies distinct subtypes of autism spectrum disorder.XLSX by Yanjun Li (46396)

“…Furthermore, the consensus clustering algorithm was performed to cluster the ASD patients, and there were two ASD subclusters. …”

Table1_An anoikis-based signature for predicting prognosis in hepatocellular carcinoma with machine learning.xlsx by Zhang Guizhen (14325240)

“…Moreover, The XGBoost algorithm verified that DAP3 was an important risk score contributor. …”

Image_1_Integrated analysis of endoplasmic reticulum stress regulators’ expression identifies distinct subtypes of autism spectrum disorder.TIF by Yanjun Li (46396)

“…Furthermore, the consensus clustering algorithm was performed to cluster the ASD patients, and there were two ASD subclusters. …”

Image 1_Identification and validation of three tumor suppressors associated with the immune response of acute myeloid leukemia.tif by Yueyuan Pan (20349465)

“…CIBERSORT and the ESTIMATE algorithm were used to assess the correlation between hub genes and the immune microenvironment of AML. …”