Estrogen Metabolomics

Metabolomics and Transcriptional Responses in Estrogen Receptor Positive Breast Cancer Cells

Deep Learning Accurately Predicts Estrogen Receptor Status in Breast Cancer Metabolomics Data

Metabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conventionally, metabolomics data analysis for diagnosis is done using various statistical and machine learning based classification methods. However, it remains unknown if deep neural network, a class of increasingly popular machine learning methods, is suitable to classify metabolomics data. Here we ...

Metabolomics.

Metabolomics is based on the simultaneous analysis of multiple low-molecular-weight metabolites from a given sample. The goals of metabolomics are to catalog and quantify the myriad small molecules found in biological fluids under different conditions. The metabolomics represents the collection of all metabolites in a biological organism, and metabolic profiling can give an instantaneous 'snaps...

Metabolomics Analysis of Mesenchymal Stem Cells

Various mesenchymal stem cells as easily accessible and multipotent cells can share different essential signaling pathways related to their stemness ability. Understanding the mechanism of stemness ability can be useful for controlling the stem cells for regenerative medicine targets. In this context, OMICs studies can analyze the mechanism of different stem cells properties or stemness ability...

Microbial Metabolomics

Microbial metabolomics constitutes an integrated component of systems biology. By studying the complete set of metabolites within a microorganism and monitoring the global outcome of interactions between its development processes and the environment, metabolomics can potentially provide a more accurate snap shot of the actual physiological state of the cell. Recent advancement of technologies a...