Search alternatives:
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
post selection » host selection (Expand Search), point selection (Expand Search), roost selection (Expand Search)
multiple post » multiple loss (Expand Search), multiple phase (Expand Search), multiple co (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search), prediction algorithms (Expand Search)
post selection » host selection (Expand Search), point selection (Expand Search), roost selection (Expand Search)
multiple post » multiple loss (Expand Search), multiple phase (Expand Search), multiple co (Expand Search)
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Table 1_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx
Published 2025“…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …”
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Supplementary file 1_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx
Published 2025“…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …”
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Table 2_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx
Published 2025“…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …”
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Monthly averages of ED2 model simulations initialised with airborne lidar structure, Jan 1981-Dec 2018, Brazilian Amazon
Published 2025“…For this version, we deleted the multiple domain and zone files, because they did not provide any unique information.…”
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gcPCA v4 correctly identifies hippocampal replay in neurophysiological data without prior knowledge of replay content.
Published 2025“…The automatic <i>α</i> selection algorithm from cPCA returns various <i>α</i> values depending on the number of cPCs requested (parameter <i>k</i>). …”
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LBQANA python code + Merged Gene Expression Dataset from GSE10810, GSE17907, GSE20711, GSE42568, GSE45827, and GSE61304 for Breast Cancer Biomarker Discovery
Published 2025“…Post-correction, Principal Component Analysis (PCA) confirmed uniform distribution across the datasets, ensuring consistency for further analysis. …”
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Data Sheet 4_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Data Sheet 6_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Data Sheet 11_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Data Sheet 7_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Data Sheet 9_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Data Sheet 1_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Data Sheet 2_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.pdf
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”
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Table 1_Multimodal diagnostic models and subtype analysis for neoadjuvant therapy in breast cancer.xlsx
Published 2025“…Post data preprocessing, Lasso regression was utilized for feature extraction and selection. …”