Table 5_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Machine learning and gene expression validation were employed, followed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for further validation. A nomogram was developed to predict MDD probability based on biomarkers. …”

Table 8_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Machine learning and gene expression validation were employed, followed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for further validation. A nomogram was developed to predict MDD probability based on biomarkers. …”

Table 2_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Machine learning and gene expression validation were employed, followed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for further validation. A nomogram was developed to predict MDD probability based on biomarkers. …”

Table 1_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Machine learning and gene expression validation were employed, followed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for further validation. A nomogram was developed to predict MDD probability based on biomarkers. …”

Table 3_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Machine learning and gene expression validation were employed, followed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for further validation. A nomogram was developed to predict MDD probability based on biomarkers. …”

Table 7_Identification and experimental validation of biomarkers associated with mitochondrial and programmed cell death in major depressive disorder.xlsx by Shengjie Xiong (21216725)

“…Machine learning and gene expression validation were employed, followed by reverse transcription-quantitative polymerase chain reaction (RT-qPCR) for further validation. A nomogram was developed to predict MDD probability based on biomarkers. …”

Functions in nhppp. by Thomas A. Trikalinos (5785877)

“…The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Table 2_NK cell-related genes-driven novel molecular subtyping and prognostic signatures for Wilms tumor: uncovering the therapeutic potential of TGX-221 and biomarker role of HS2S... by Peng Hong (2828327)

“…Background<p>Wilms tumor (WT) lacks precise molecular subtyping tools, which limits the development of personalized therapies. To address this issue, we investigated whether NK cell-related genes (NKGs) could refine the molecular subtyping of WT, aiming to identify novel therapeutic strategies.…”

Table 1_NK cell-related genes-driven novel molecular subtyping and prognostic signatures for Wilms tumor: uncovering the therapeutic potential of TGX-221 and biomarker role of HS2S... by Peng Hong (2828327)

“…Background<p>Wilms tumor (WT) lacks precise molecular subtyping tools, which limits the development of personalized therapies. To address this issue, we investigated whether NK cell-related genes (NKGs) could refine the molecular subtyping of WT, aiming to identify novel therapeutic strategies.…”

Image 2_NK cell-related genes-driven novel molecular subtyping and prognostic signatures for Wilms tumor: uncovering the therapeutic potential of TGX-221 and biomarker role of HS2S... by Peng Hong (2828327)

“…Background<p>Wilms tumor (WT) lacks precise molecular subtyping tools, which limits the development of personalized therapies. To address this issue, we investigated whether NK cell-related genes (NKGs) could refine the molecular subtyping of WT, aiming to identify novel therapeutic strategies.…”

Image 1_NK cell-related genes-driven novel molecular subtyping and prognostic signatures for Wilms tumor: uncovering the therapeutic potential of TGX-221 and biomarker role of HS2S... by Peng Hong (2828327)

“…Background<p>Wilms tumor (WT) lacks precise molecular subtyping tools, which limits the development of personalized therapies. To address this issue, we investigated whether NK cell-related genes (NKGs) could refine the molecular subtyping of WT, aiming to identify novel therapeutic strategies.…”

NHPPP generation in R packages. by Thomas A. Trikalinos (5785877)

“…The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Simulation metrics for the number of counts. by Thomas A. Trikalinos (5785877)

“…The package’s functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function; the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme. …”

Table 2_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx by Hongxing Zhang (209372)

“…A combined diagnostic model for LDD risk was developed based on the expression profiles of the diagnostic genes. …”

Table 1_Bioinformatic analysis identifies LPL as a critical gene in diabetic kidney disease via lipoprotein metabolism.xlsx by Qian Dong (414788)

“…These findings lay a theoretical foundation for understanding the molecular mechanisms of DKD and developing LPL-based therapeutic strategies.</p>…”

Table 1_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx by Hongxing Zhang (209372)

“…A combined diagnostic model for LDD risk was developed based on the expression profiles of the diagnostic genes. …”

Table 4_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx by Hongxing Zhang (209372)

“…A combined diagnostic model for LDD risk was developed based on the expression profiles of the diagnostic genes. …”

Data Sheet 1_Identification of SMYD2 as a candidate diagnostic and prognostic biomarker for gastric cancer.docx by Sichao Wang (2098546)

“…Background<p>Histone modification enzymes (HMEs) are associated with cancer development, treatment response, and prognosis. However, the potential roles of HMEs in gastric cancer (GC) remain unclear. …”

Table 3_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.xlsx by Hongxing Zhang (209372)

“…A combined diagnostic model for LDD risk was developed based on the expression profiles of the diagnostic genes. …”

Data Sheet 2_Integration of single-cell sequencing and machine learning identifies key macrophage-associated genetic signatures in lumbar disc degeneration.pdf by Hongxing Zhang (209372)

“…A combined diagnostic model for LDD risk was developed based on the expression profiles of the diagnostic genes. …”