Image4_A Novel Deep Learning Method to Predict Lung Cancer Long-Term Survival With Biological Knowledge Incorporated Gene Expression Images and Clinical Data.JPEG حسب Shuo Wang (143908)

Image5_A Novel Deep Learning Method to Predict Lung Cancer Long-Term Survival With Biological Knowledge Incorporated Gene Expression Images and Clinical Data.JPEG حسب Shuo Wang (143908)

Table_3_Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods.XLSX حسب Hao Li (31608)

"…This list was fed into the incremental feature selection (IFS) method, incorporating four classification algorithms (deep forest, random forest, K-nearest neighbor, and decision tree). …"

Table_1_Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods.XLSX حسب Hao Li (31608)

"…This list was fed into the incremental feature selection (IFS) method, incorporating four classification algorithms (deep forest, random forest, K-nearest neighbor, and decision tree). …"

Table_2_Characterization of spleen and lymph node cell types via CITE-seq and machine learning methods.XLSX حسب Hao Li (31608)

"…This list was fed into the incremental feature selection (IFS) method, incorporating four classification algorithms (deep forest, random forest, K-nearest neighbor, and decision tree). …"

<i>In silico</i> prediction of blood cholesterol levels from genotype data حسب Francesco Reggiani (5727733)

"…<div><p>In this work we present a framework for blood cholesterol levels prediction from genotype data. The predictor is based on an algorithm for cholesterol metabolism simulation available in literature, implemented and optimized by our group in the R language. …"

An inflammation-associated ferroptosis signature can optimize the diagnosis, prognosis evaluation and immunotherapy options in hepatocellular carcinoma حسب Wanyuan Ruan (13763851)

"…Herein, our aim was to identify the inflammation associated ferroptosis (IAF)- biomarkers for contributing the immunotherapy of HCC.</p> <p>Methods: The train cohort from The Cancer Genome Atlas (TCGA) was clustered into three subtypes (C1, C2, and C3) based on the genes related to inflammation and ferroptosis. …"

Data_Sheet_1_Explainable artificial intelligence based on feature optimization for age at onset prediction of spinocerebellar ataxia type 3.pdf حسب Danlei Ru (13521910)

"…The performance of 4 feature optimization methods and 10 machine learning (ML) algorithms were compared, followed by building the XAI based on the SHapley Additive exPlanations (SHAP). …"

Summary of steps in iterative point set registration for scRNA-seq data. حسب Amir Alavi (9569337)

Data Sheet 1_Clinical potential and experimental validation of prognostic genes in hepatocellular carcinoma revealed by risk modeling utilizing single cell and transcriptome constr... حسب Hang Deng (1664668)

"…Subsequently, univariate Cox regression analysis and PH assumption test were performed, and a risk model was developed using an optimal algorithm from 101 combinations on the TCGA-LIHC dataset to pinpoint prognostic genes. …"

Table_6_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Table_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Image_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.tif حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Table_2_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Table_4_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Table_5_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Table_3_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx حسب Ying Zhou (25031)

"…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …"

Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"

Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"

Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF حسب Qingqing Li (1505614)

"…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …"