Details of 23 basic benchmark functions. by Ying Li (38224)

Optimal stability ranking of candidate reference genes using geNorm, NormFinder, BestKeeper, and rank aggregation method. by Marina Linardić (10720448)

Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)

DataSheet1_Determination of a prediction model for therapeutic response and prognosis based on chemokine signaling-related genes in stage I–III lung squamous cell carcinoma.docx by Jinzhi Lai (6856568)

“…The TCIA database and pRRophetic algorithm were utilized to predict responses to immunochemotherapy and targeted therapy.…”

DataSheet_1_Computational identification and clinical validation of a novel risk signature based on coagulation-related lncRNAs for predicting prognosis, immunotherapy response, an... by Fang Zhang (197215)

“…</p>Methods<p>CRC samples from The Cancer Genome Atlas (TCGA) were used as the training set, while the substantial bulk or single-cell RNA transcriptomics from Gene Expression Omnibus (GEO) datasets and real-time quantitative PCR (RT-qPCR) data from CRC cell lines and paired frozen tissues were used for validation. …”

Image 4_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.jpeg by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

Table 2_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.xlsx by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

Table 1_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.xlsx by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

Image 3_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.jpeg by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

Image 2_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.jpeg by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

Table 3_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.xlsx by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

Image 1_Integrated machine learning analysis of 30 cell death patterns identifies a novel prognostic signature in glioma.jpeg by Minhao Huang (4952764)

“…A clinical nomogram integrating CDS, WHO grade and radiotherapy further improved prognostic utility. Based on in vitro cell line experiments, the expression profiles of 25 key genes demonstrated significant heterogeneity, with partial genes undetectable by qRT-PCR due to expression levels falling below detection thresholds. …”

DataSheet_1_Necroptosis-related lncRNAs: Combination of bulk and single-cell sequencing reveals immune landscape alteration and a novel prognosis stratification approach in lung ad... by Yizhu Yao (12357010)

“…The expression profile of four key lncRNAs was further validated by qRT-PCR in 4 human LUAD cell lines. And a novel immune landscape alteration was observed between NecroLRS-High and -Low patients. …”

DataSheet_1_Necroptosis-related lncRNAs: Combination of bulk and single-cell sequencing reveals immune landscape alteration and a novel prognosis stratification approach in lung ad... by Yizhu Yao (12357010)

“…The expression profile of four key lncRNAs was further validated by qRT-PCR in 4 human LUAD cell lines. And a novel immune landscape alteration was observed between NecroLRS-High and -Low patients. …”

Data Sheet 1_Stemness-related gene signatures as a predictive tool for breast cancer radiosensitivity.pdf by Jinzhi Lai (6856568)

“…Background<p>Understanding the role of cancer stemness in predicting breast cancer (BRCA) response to radiotherapy is crucial for optimizing treatment outcomes. This study developed a stemness-based signature to identify BRCA patients who are likely to benefit from radiotherapy.…”

Data Sheet 1_Discovery of a DNA repair-associated radiosensitivity index for predicting radiotherapy efficacy in breast cancer.docx by Jianguang Lin (13032527)

“…Accurately predicting tumor radiosensitivity is critical for optimizing therapeutic outcomes and personalizing treatment strategies. …”

Image_2_Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma.tif by Cong Liu (66219)

“…By immunohistochemistry (IHC), Western blot, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) experiments, the expression levels of CHKB and PEMT in human, mouse, and cell lines were detected.…”

DataSheet_2_Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma.csv by Cong Liu (66219)

“…By immunohistochemistry (IHC), Western blot, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) experiments, the expression levels of CHKB and PEMT in human, mouse, and cell lines were detected.…”

Image_1_Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma.tiff by Cong Liu (66219)

“…By immunohistochemistry (IHC), Western blot, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) experiments, the expression levels of CHKB and PEMT in human, mouse, and cell lines were detected.…”

DataSheet_3_Construction of a novel choline metabolism-related signature to predict prognosis, immune landscape, and chemotherapy response in colon adenocarcinoma.csv by Cong Liu (66219)

“…By immunohistochemistry (IHC), Western blot, quantitative reverse transcription-polymerase chain reaction (qRT-PCR) experiments, the expression levels of CHKB and PEMT in human, mouse, and cell lines were detected.…”