Image1_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table3_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Table2_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.XLSX حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Image4_gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.PNG حسب Ali Mostafa Anwar (7454504)

"…For instance, generated S_ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. …"

Results of preliminary experiments. حسب Grzegorz Dudek (18239346)

Feature importance. حسب Grzegorz Dudek (18239346)

Comparison of ML model performances. حسب Grzegorz Dudek (18239346)

Hyperparameters of the ML models. حسب Grzegorz Dudek (18239346)

Confusion matrix for NB with features v1v3v4v5. حسب Grzegorz Dudek (18239346)

DT model. حسب Grzegorz Dudek (18239346)

Clinical characteristic of the studied group. حسب Grzegorz Dudek (18239346)

DataSheet1_PINet 1.0: A pathway network-based evaluation of drug combinations for the management of specific diseases.PDF حسب Yongkai Hong (13973343)

Fitting single-cell data to the stochastic model. حسب Benjamin D. Maier (13994415)

Table_1_A Novel Network Pharmacology Strategy to Decode Mechanism of Lang Chuang Wan in Treating Systemic Lupus Erythematosus.xlsx حسب Yao Gao (1420339)

"…Most of these models focus on the 2D/3D similarity of chemical structure of drug components and ignore the functional optimization space based on relationship between pathogenetic genes and drug targets. …"

Image_1_A Novel Network Pharmacology Strategy to Decode Mechanism of Lang Chuang Wan in Treating Systemic Lupus Erythematosus.tif حسب Yao Gao (1420339)

"…Most of these models focus on the 2D/3D similarity of chemical structure of drug components and ignore the functional optimization space based on relationship between pathogenetic genes and drug targets. …"

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

"…Besides, an optimal classification model using a support vector machine (SVM) algorithm as the classifier was also built. …"

Image_6_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF حسب Qianhui Xu (10517717)

"…Estimation of Stromal and Immune Cells in Malignant Tumors using Expression Data and single-sample gene-set enrichment analysis algorithm were performed to characterize the context of tumor immune microenvironment (TIME). …"

Image_2_Immunological Value of Prognostic Signature Based on Cancer Stem Cell Characteristics in Hepatocellular Carcinoma.TIF حسب Qianhui Xu (10517717)

"…Estimation of Stromal and Immune Cells in Malignant Tumors using Expression Data and single-sample gene-set enrichment analysis algorithm were performed to characterize the context of tumor immune microenvironment (TIME). …"