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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)
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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.
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Mathematics
Cancer
98%
Drugs
98%
Cell
71%
Line
63%
Profile
32%
Target
32%
Prediction
30%
Pharmacology
28%
Network Algorithms
28%
Interaction
27%
High Throughput
26%
Multi-class
24%
Experimentation
22%
Safety
21%
Visualization
20%
Availability
20%
Efficacy
20%
MATLAB
20%
Experimental Data
19%
Averaging
18%
Predict
17%
Binary
14%
Strategy
13%
Modeling
12%
Medicine & Life Sciences
Drug Combinations
100%
Cell Line
57%
Drug Design
36%
Drug Interactions
31%
Neoplasms
31%
Pharmacology
21%
Safety
18%
Engineering & Materials Science
Cells
93%
MATLAB
38%
Visualization
36%
Availability
34%
Throughput
33%
Chemical Compounds
Drug
50%
Drug Target
36%
Safety
27%
Application
10%