Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
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)
Overview
Fingerprint
Fingerprint
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.
Sort by
Weight
Alphabetically
Mathematics
Cancer
71%
Cell
25%
Class
3%
Comparative Analysis
13%
Demonstrate
6%
Drugs
70%
Filtering
11%
Line
15%
Mass Spectrometry
71%
Modeling
44%
Performance
20%
Prediction
55%
Predictive Modeling
19%
Profile
19%
Profiling
98%
Protein
60%
Proteomics
100%
Relevance
11%
Reverse
33%
Stratification
12%
Target
9%
Medicine & Life Sciences
Cell Line
13%
Mass Spectrometry
41%
Neoplasms
22%
Oncogene Proteins
12%
Pharmaceutical Preparations
28%
Protein Array Analysis
44%
Proteins
8%
Proteomics
63%
Technology
30%
Engineering & Materials Science
Cells
13%
Mass spectrometry
71%
Proteins
63%
Proteomics
92%
Chemical Compounds
Application
4%
Drug
36%
Filtration
12%
Marker
24%
Mass Spectrometry
37%
Protein
28%