DataSheet_1_Machine learning-based on cytotoxic T lymphocyte evasion gene develops a novel signature to predict prognosis and immunotherapy responses for kidney renal clear cell ca... حسب Mei Chen (197360)

"…Therefore, we use machine learning algorithms to construct a signature based on cytotoxic T lymphocyte evasion genes (CTLEGs) to predict the immunotherapy responses of patients, so as to screen patients effective for immunotherapy.…"

MOA classification performance and model benchmarking. حسب Josh L. Espinoza (10492448)

Table_1_Identification and Analysis of Glioblastoma Biomarkers Based on Single Cell Sequencing.XLSX حسب Quan Cheng (1332420)

"…The gene expression profiles of GBM from 2343 tumor cells and 1246 periphery cells were analyzed by maximum relevance minimum redundancy (mRMR). …"

Table_1_Prognostic Signature of Immune Genes and Immune-Related LncRNAs in Neuroblastoma: A Study Based on GEO and TARGET Datasets.docx حسب Xiaodan Zhong (6021560)

Image_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... حسب Huangwei Wei (17011266)

"…Next, the AD samples in the GSE33000 dataset were extracted and subjected to consensus clustering based upon the differentially expressed NRGs. Key genes associated with necroptosis clusters were identified using Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm, and then intersected with the key gene related to AD. …"

Table_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.XLS... حسب Huangwei Wei (17011266)

"…Next, the AD samples in the GSE33000 dataset were extracted and subjected to consensus clustering based upon the differentially expressed NRGs. Key genes associated with necroptosis clusters were identified using Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm, and then intersected with the key gene related to AD. …"

Image_2_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... حسب Huangwei Wei (17011266)

"…Next, the AD samples in the GSE33000 dataset were extracted and subjected to consensus clustering based upon the differentially expressed NRGs. Key genes associated with necroptosis clusters were identified using Weighted Gene Co-Expression Network Analysis (WGCNA) algorithm, and then intersected with the key gene related to AD. …"

Table_2_Identification of cortical interneuron cell markers in mouse embryos based on machine learning analysis of single-cell transcriptomics.XLSX حسب Zhandong Li (4284526)

Table_1_Identification of cortical interneuron cell markers in mouse embryos based on machine learning analysis of single-cell transcriptomics.XLSX حسب Zhandong Li (4284526)

Table1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX حسب Xiaofeng Cheng (1485481)

"…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …"

Image3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.tif حسب Xiaofeng Cheng (1485481)

"…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …"

Image1_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF حسب Xiaofeng Cheng (1485481)

"…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …"

Table3_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX حسب Xiaofeng Cheng (1485481)

"…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …"

Table2_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.XLSX حسب Xiaofeng Cheng (1485481)

"…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …"

Image2_Novel amino acid metabolism‐related gene signature to predict prognosis in clear cell renal cell carcinoma.TIF حسب Xiaofeng Cheng (1485481)

"…However, the expression of AAM-related genes and their correlation with prognosis in clear cell renal cell carcinoma (ccRCC) remain elusive. …"

Construction of non-invasive diagnostic model and nomogram of AR. حسب Xihao Shen (20347942)

S1 File - حسب Xihao Shen (20347942)

"…A cluster analysis of rejection samples was conducted using the consensus clustering algorithm. Subsequently, we utilized multiple machine learning methods (RF, SVM, XGB, GLM and LASSO) based on pSRGs to develop the optimal Acute Rejection (AR) diagnostic model and long-term graft survival predictive signatures. …"

6 data sets included in this study. حسب Xihao Shen (20347942)

"…A cluster analysis of rejection samples was conducted using the consensus clustering algorithm. Subsequently, we utilized multiple machine learning methods (RF, SVM, XGB, GLM and LASSO) based on pSRGs to develop the optimal Acute Rejection (AR) diagnostic model and long-term graft survival predictive signatures. …"

Image1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.pdf حسب Guoliang Cheng (12458973)

Table1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.xls حسب Guoliang Cheng (12458973)