How close is the bench to the bedside? Metabolic profiling in cancer research. - Wikidata - awgldk - TriplyDB

How close is the bench to the bedside? Metabolic profiling in cancer research.

How close is the bench to the bedside? Metabolic profiling in cancer research.

http://www.wikidata.org/entity/Q37118287

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"OMIC" tumor markers for breast cancer: A review Computational strategies for a system-level understanding of metabolism.Recent advances of metabolomics in plant biotechnology.Metabolomics in bladder cancer: a systematic review.Human bile as a rich source of biomarkers for hepatopancreatobiliary cancers.Metabolomics and surgical oncology: Potential role for small molecule biomarkers.Metabolomics of colorectal cancer: past and current analytical platforms.Genome Medicine: the future of medicine.Pancreatic carcinoma, pancreatitis, and healthy controls: metabolite models in a three-class diagnostic dilemma.Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study

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How close is the bench to the bedside? Metabolic profiling in cancer research.

http://www.wikidata.org/entity/Q37118287

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article científic

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article scientifique

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articolo scientifico

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bilimsel makale

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scientific article published on 20 January 2009

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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Genome Medicine

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How close is the bench to the bedside? Metabolic profiling in cancer research.

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Que N Van

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P2860

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Fast acquisition of NMR spectra using Fourier transform of non-equispaced data.

Citrate concentrations in human seminal fluid and expressed prostatic fluid determined via 1H nuclear magnetic resonance spectroscopy outperform prostate specific antigen in prostate cancer detection.

UPLC-ESI-TOFMS-based metabolomics and gene expression dynamics inspector self-organizing metabolomic maps as tools for understanding the cellular response to ionizing radiation.

Metabolomics using 1H-NMR of apoptosis and Necrosis in HL60 leukemia cells: differences between the two types of cell death and independence from the stimulus of apoptosis used.

The intermediary metabolism of the prostate: a key to understanding the pathogenesis and progression of prostate malignancy

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