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- 2020
-
Mark
NIB - A visualization tool for feature-level multi-omic data based on global metrics
(
- Master (Two yrs)
-
Mark
Evaluation of automated sample preparation for phosphoproteomic analysis of two different breast cancer cell lines
(
- Master (Two yrs)
- 2019
-
Mark
GhostMS: An error-controlled machine learning approach to efficient alignment and quantification of multi-sample experiments in Mass Spectrometry-based Proteomics
(
- Master (Two yrs)
- 2017
-
Mark
A novel pipeline for protein level quantification using peptide mass spectrometry data
(
- Master (Two yrs)
- 2016
-
Mark
Protein Quantification Based on Quantitative Shotgun Proteomics Data
(
- Master (Two yrs)
-
Mark
Peak Detection in Data Independent Acquisition Analysis
(
- Prof. qual. >4 yrs
- 2012
-
Mark
Limitation of algorithms for quantitative label-free LC-MS-based proteomics
(
- Master (Two yrs)
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