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Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach
Mehreen Ali, Suleiman A Khan,
Krister Wennerberg
, Tero Aittokallio
22
Citations (Scopus)
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Dive into the research topics of 'Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach'. Together they form a unique fingerprint.
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Mathematics
Proteomics
100%
Profiling
98%
Mass Spectrometry
71%
Cancer
71%
Drugs
70%
Protein
60%
Prediction
55%
Modeling
44%
Reverse
33%
Cell
25%
Performance
20%
Profile
19%
Predictive Modeling
19%
Line
15%
Comparative Analysis
13%
Stratification
12%
Filtering
11%
Relevance
11%
Target
9%
Demonstrate
6%
Class
3%
Medicine & Life Sciences
Proteomics
63%
Protein Array Analysis
44%
Mass Spectrometry
41%
Technology
30%
Pharmaceutical Preparations
28%
Neoplasms
22%
Cell Line
13%
Oncogene Proteins
12%
Proteins
8%
Engineering & Materials Science
Proteomics
92%
Mass spectrometry
71%
Proteins
63%
Cells
13%
Chemical Compounds
Mass Spectrometry
37%
Drug
36%
Protein
28%
Marker
24%
Filtration
12%
Application
4%