Identifying biomarkers trang 1 tải miễn phí từ TAILIEUCHUNG

"Identifying biomarkers" trang 1 - tải miễn phí từ Tailieuchung

Identification of the lipid biomarkers from plasma in idiopathic pulmonary fibrosis by Lipidomics

Identification of the lipid biomarkers from plasma in idiopathic pulmonary fibrosis by Lipidomics

12 13 1

Identifying predictive biomarkers of CIMAvaxEGF success in non–small cell lung cancer patients

Identifying predictive biomarkers of CIMAvaxEGF success in non–small cell lung cancer patients

8 73 1

Báo cáo y học: "A filter-based feature selection approach for identifying potential biomarkers for lung cancer"

8 37 0

A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy

A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy

11 32 1

Comparative network stratification analysis for identifying functional interpretable network biomarkers

Comparative network stratification analysis for identifying functional interpretable network biomarkers

12 27 1

A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary nodules

A prediction model based on DNA methylation biomarkers and radiological characteristics for identifying malignant from benign pulmonary nodules

11 27 1

Multi gene mutation signatures in colorectal cancer patients: Predict for the diagnosis, pathological classification, staging and prognosis

Multi gene mutation signatures in colorectal cancer patients: Predict for the diagnosis, pathological classification, staging and prognosis

16 21 1

Prognostic value of circulating tumor cells detected with the CellSearch system in esophageal cancer patients: A systematic review and meta-analysis

Prognostic value of circulating tumor cells detected with the CellSearch system in esophageal cancer patients: A systematic review and meta-analysis

11 32 1

Latent‑space embedding of expression data identifes gene signatures from sputum samples of asthmatic patients

Latent‑space embedding of expression data identifes gene signatures from sputum samples of asthmatic patients

13 38 1

A novel statistical approach for identification of the master regulator transcription factor

A novel statistical approach for identification of the master regulator transcription factor

11 35 1

Development of predicitve models to distinguish metals from non-metal toxicants, and individual metal from one another

Development of predicitve models to distinguish metals from non-metal toxicants, and individual metal from one another

14 26 1

Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNASeq datasets and machine learning

Identifying novel transcript biomarkers for hepatocellular carcinoma (HCC) using RNASeq datasets and machine learning

15 19 1

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