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Computational analysis of copy number profiles of tumors
Ewald Van Dyk
Pattern Recognition and Bioinformatics
Research output
:
Thesis
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Dissertation (TU Delft)
236
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Dive into the research topics of 'Computational analysis of copy number profiles of tumors'. Together they form a unique fingerprint.
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INIS
tumors
100%
peaks
100%
cancer
87%
genes
75%
dna
50%
oncogenes
37%
width
25%
power
25%
applications
25%
genetics
25%
noise
25%
correlations
25%
passengers
25%
data
25%
amplification
12%
cell proliferation
12%
receptors
12%
gene mutations
12%
resolution
12%
diseases
12%
harbors
12%
statistics
12%
equations
12%
mathematics
12%
instability
12%
algorithms
12%
deactivation
12%
growth factors
12%
Computer Science
Roles
50%
Adaptive Smoothing
50%
Statistics
50%
False Positive
50%
Algorithms
50%
False Discovery
50%
Biochemistry, Genetics and Molecular Biology
Peak Calling
33%
Somatosensory Amplification
11%
Growth Factor Receptor
11%
Earth and Planetary Sciences
Suppressor
33%
Neuroscience
Behavior (Neuroscience)
11%
False Discovery Rate
11%
Expectations
11%
Engineering
Positive Peak
11%
Broad Peak
11%