Search alternatives:
material optimization » bayesian optimization (Expand Search), spatial optimization (Expand Search), rational optimization (Expand Search)
sars optimization » swarm optimization (Expand Search), art optimization (Expand Search), stress optimization (Expand Search)
based material » based materials (Expand Search), base material (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based sars » based assays (Expand Search), based stress (Expand Search), based search (Expand Search)
material optimization » bayesian optimization (Expand Search), spatial optimization (Expand Search), rational optimization (Expand Search)
sars optimization » swarm optimization (Expand Search), art optimization (Expand Search), stress optimization (Expand Search)
based material » based materials (Expand Search), base material (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
based sars » based assays (Expand Search), based stress (Expand Search), based search (Expand Search)
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Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX
Published 2021“…<p>The growing application of cell and gene therapies in humans leads to a need for cell type-optimized culture media. …”
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DataSheet_1_A novel prognostic model based on three integrin subunit genes-related signature for bladder cancer.docx
Published 2022“…This study endeavored to thoroughly analyze the utility of ITGs in BLCA through computer algorithm-based bioinformatics.</p>Methods<p>BLCA-related materials were sourced from reputable databases, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). …”
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DataSheet_1_A Novel Radiogenomics Biomarker Based on Hypoxic-Gene Subset: Accurate Survival and Prognostic Prediction of Renal Clear Cell Carcinoma.doc
Published 2021“…Purpose<p>To construct a novel radiogenomics biomarker based on hypoxic-gene subset for the accurate prognostic prediction of clear cell renal cell carcinoma (ccRCC).…”
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Table_5_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.XLSX
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Image_1_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.JPEG
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Table_2_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.XLSX
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Table_1_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.XLSX
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Image_2_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.JPEG
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Table_4_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.XLSX
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Table_3_Development and Validation of a 12-Gene Immune Relevant Prognostic Signature for Lung Adenocarcinoma Through Machine Learning Strategies.XLSX
Published 2020“…</p><p>Methods and Materials: Gene expression data of LUAD patients from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were systematically analyzed. …”
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Table6_Identification of a Five-Gene Signature Derived From MYCN Amplification and Establishment of a Nomogram for Predicting the Prognosis of Neuroblastoma.DOCX
Published 2021“…Finally, a nomogram based on the five-gene signature was established, and its clinical efficacy was demonstrated.…”
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Table2_Identification of a Five-Gene Signature Derived From MYCN Amplification and Establishment of a Nomogram for Predicting the Prognosis of Neuroblastoma.DOCX
Published 2021“…Finally, a nomogram based on the five-gene signature was established, and its clinical efficacy was demonstrated.…”
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Table4_Identification of a Five-Gene Signature Derived From MYCN Amplification and Establishment of a Nomogram for Predicting the Prognosis of Neuroblastoma.CSV
Published 2021“…Finally, a nomogram based on the five-gene signature was established, and its clinical efficacy was demonstrated.…”
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Table1_Identification of a Five-Gene Signature Derived From MYCN Amplification and Establishment of a Nomogram for Predicting the Prognosis of Neuroblastoma.XLSX
Published 2021“…Finally, a nomogram based on the five-gene signature was established, and its clinical efficacy was demonstrated.…”