table7_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.xlsx by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

table2_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.xlsx by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

image2_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.tiff by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

image3_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.tif by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

table4_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.xlsx by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

image4_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.tif by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

table3_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.xls by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

table1_Unraveling Gene Fusions for Drug Repositioning in High-Risk Neuroblastoma.xlsx by Zhichao Liu (191718)

“…Although the technical concordance of fusion detection algorithms was suboptimal, they have a similar biological relevance concerning perturbed pathways and regulated DEGs. …”

AP-2α 相关研究 by Ya-Hong Wang (21080642)

“…(B) Determination of inhibition rates of voriconazole and terbinafine on the WT, VdAP-2α deletion mutant, and complemented strain. …”

Table_1_The Impact of Medical Complications in Predicting the Rehabilitation Outcome of Patients With Disorders of Consciousness After Severe Traumatic Brain Injury.DOCX by Lucia Francesca Lucca (9544463)

“…Our study provides new evidence on the most adverse short-term factors predicting a functional recovery in DOC patients after severe TBI. …”

Table1_Characterization of the Different Subtypes of Immune Cell Infiltration to Aid Immunotherapy.XLS by Zhenqing Li (733596)

“…Despite these unprecedented clinical successes, intervention remission rates remain low after treatment, rarely exceeding 40%. …”

Supplementary file 1_Comprehensive analysis of phagocytosis regulatory genes in bladder cancer: implications for prognosis and immunotherapy.xlsx by Xueming Ma (2119150)

“…</p>Methods<p>Multi-omics data from the TCGA and GEO databases were integrated, and strict data preprocessing was carried out. A variety of algorithms and analysis techniques, such as Kaplan-Meier analysis, Cox regression analysis, and ConsensusClusterPlus clustering analysis, were used to identify PRGs related to the prognosis of bladder cancer patients, and functional analysis and clustering analysis were conducted in depth. …”

Image 2_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. Our previous studies revealed an increased prevalence of kidney stones among diabetic patients, suggesting potential underlying mechanisms linking these two conditions. …”

Image 3_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. Our previous studies revealed an increased prevalence of kidney stones among diabetic patients, suggesting potential underlying mechanisms linking these two conditions. …”

Image 1_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. Our previous studies revealed an increased prevalence of kidney stones among diabetic patients, suggesting potential underlying mechanisms linking these two conditions. …”

Image 4_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. Our previous studies revealed an increased prevalence of kidney stones among diabetic patients, suggesting potential underlying mechanisms linking these two conditions. …”

Table1_TGF-β Signaling Pathway-Based Model to Predict the Subtype and Prognosis of Head and Neck Squamous Cell Carcinoma.docx by Lian Zheng (148007)

“…Gene set enrichment analysis was applied to explore biological functions. Tracking of indels by decomposition and subclass mapping algorithms were adopted to evaluate immunotherapy efficiency.…”

Table 1_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.docx by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. Our previous studies revealed an increased prevalence of kidney stones among diabetic patients, suggesting potential underlying mechanisms linking these two conditions. …”

Image1_TGF-β Signaling Pathway-Based Model to Predict the Subtype and Prognosis of Head and Neck Squamous Cell Carcinoma.TIF by Lian Zheng (148007)

“…Gene set enrichment analysis was applied to explore biological functions. Tracking of indels by decomposition and subclass mapping algorithms were adopted to evaluate immunotherapy efficiency.…”

Image 5_Leveraging the integration of bioinformatics and machine learning to uncover common biomarkers and molecular pathways underlying diabetes and nephrolithiasis.tif by Xudong Shen (205653)

“…Background<p>Kidney stones are a common benign condition of the urinary system, characterized by high incidence and recurrence rates. Our previous studies revealed an increased prevalence of kidney stones among diabetic patients, suggesting potential underlying mechanisms linking these two conditions. …”