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Multiple augmented reduced rank regression for pan-cancer analysis
Jiuzhou Wang,
Eric F. Lock
Biostatistics
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peer-review
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Dive into the research topics of 'Multiple augmented reduced rank regression for pan-cancer analysis'. Together they form a unique fingerprint.
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Mathematics
Reduced Rank Regression
100%
Cancer
66%
Factorization
40%
Regression
37%
Mutation
32%
Covariates
27%
Atlas
21%
Gene Expression Data
21%
Factorization Method
20%
Random Matrix Theory
20%
Imputation
19%
High-dimensional Data
18%
Architecture
17%
Genome
17%
Prediction
12%
Simulation
10%
Norm
9%
Demonstrate
9%
Framework
9%
Term
8%
Agriculture & Biology
neoplasms
49%
somatic mutation
21%
topographic maps
19%
methodology
13%
mutation
11%
prediction
11%
gene expression
9%
genome
8%
sampling
5%
Medicine & Life Sciences
Datasets
38%
Neoplasms
21%
Mutation
18%
Atlases
17%
Genome
11%
Gene Expression
9%
Engineering & Materials Science
Factorization
64%
Gene expression
17%
Genomics
16%
Chemical Compounds
Mutation
55%
Simulation
40%