Immune infiltration analysis of the prognostic model in LIHC using multiple algorithms. حسب Shuang Zheng (768179)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Immune infiltration analysis by CIBERSORT algorithm. حسب Lanying Shen (22755930)

Spatial transcriptomics (ST) and single-cell atlases of multiple human tissues. حسب Huamei Li (8815955)

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. حسب Huamei Li (8815955)

Accuracy metrics of mapping tools on spatial transcriptomics (ST) data from multiple tissues. حسب Huamei Li (8815955)

Table 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.docx حسب Yuxuan Li (1674307)

Image 1_Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms.tif حسب Yuxuan Li (1674307)

Algorithm flow of the IFE method. حسب Jia Liu (41593)

"…In this method, the IFE algorithm first removed the bad sensor features; then the FGS algorithm determined the optimized sensor combination by gradually selecting the features in groups. …"

In Silico Sorghum GxExM Dataset For Prediction Algorithm Comparisons حسب Owen Powell (16328658)

Multiple machine learning methods for screening heart failure related diagnostic biomarkers. حسب Ming Du (532508)

Table 6_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 7_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 3_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 2_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 1_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 4_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

Table 5_Predictive prioritization of genes significantly associated with biotic and abiotic stresses in maize using machine learning algorithms.xlsx حسب Anjan Kumar Pradhan (9386369)

"…Improved performances of the algorithms via feature selection from the raw gene features identified 235 unique genes as top candidate genes across all models for all stresses. …"

The 44 MT variants selected by Vijay. حسب Xuexin Yu (733842)

Risk stratification and molecular markers. حسب Sandra Lorena Colli (12334315)

"…This study assesses multiple genetic alterations, including fusions in RET, ALK, MET, BRAF, and NTRK genes, as well as the BRAF V600E single nucleotide variant. …"