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
TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples
Liye He,
Krister Wennerberg
, Tero Aittokallio, Jing Tang
11
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Availability
20%
Averaging
18%
Binary
14%
Cancer
98%
Cell
71%
Drugs
98%
Efficacy
20%
Experimental Data
19%
Experimentation
22%
High Throughput
26%
Interaction
27%
Line
63%
MATLAB
20%
Modeling
12%
Multi-class
24%
Network Algorithms
28%
Pharmacology
28%
Predict
17%
Prediction
30%
Profile
32%
Safety
21%
Strategy
13%
Target
32%
Visualization
20%
Medicine & Life Sciences
Cell Line
57%
Drug Combinations
100%
Drug Design
36%
Drug Interactions
31%
Neoplasms
31%
Pharmacology
21%
Safety
18%
Engineering & Materials Science
Availability
34%
Cells
93%
MATLAB
38%
Throughput
33%
Visualization
36%
Chemical Compounds
Application
10%
Drug
50%
Drug Target
36%
Safety
27%