DataSheet_1_Trans-population graph-based coverage optimization of allogeneic cellular therapy.xlsx حسب Sapir Israeli (15415241)

DataSheet_1_Trans-population graph-based coverage optimization of allogeneic cellular therapy.xlsx حسب Sapir Israeli (15415241)

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

الموضوعات:

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

الموضوعات:

Gex2SGen: Designing Drug-like Molecules from Desired Gene Expression Signatures حسب Dibyajyoti Das (14845321)

الموضوعات:

WGCNA analysis and construction of a prognostic risk score based on CXCL9 + macrophage-related genes. حسب Bin Liang (228729)

Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx حسب Yu Yin (329063)

"…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…"

Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf حسب Yu Yin (329063)

"…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…"

<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. …"

Results of the BRIDES node selection procedure for two scenarios and three weighted models. حسب Cindy Bouchard (6844979)

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)

"…</p>Methods<p>The HCC datasets were obtained from public databases and then differential expression analysis were used to obtain significant gene expression profiles. 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. …"

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

"…B) The influence of the <i>Clairvoyance</i> optimization algorithm for feature selection on model performance at each of the 5 sub-model decision points. …"

The penetrance tables for the 8 DNME models. حسب Liyan Sun (760586)

"…Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions.…"

The penetrance tables for the 8 DME models. حسب Liyan Sun (760586)

"…Epi-SSA draws inspiration from the sparrow search algorithm and optimizes the population based on multiple objective functions in each iteration, in order to be able to more precisely identify epistatic interactions.…"

DE-DSRGs were identified as diagnostic genes for AMI. حسب Nan Huang (464390)

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. …"

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

Table1_Identification of a ferroptosis-related gene signature predicting recurrence in stage II/III colorectal cancer based on machine learning algorithms.XLSX حسب Ze Wang (132986)

"…A total of 1,397 samples were enrolled in our study from nine independent datasets, four of which were integrated as the training dataset to train and construct the model, and validated in the remaining datasets. We developed a machine learning framework with 83 combinations of 10 algorithms based on 10-fold cross-validation (CV) or bootstrap resampling algorithm to identify the most robust and stable model. …"