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Wei Pan
Professor
,
Biostatistics
Email
panxx014
umn
edu
1998 …
2024
Research activity per year
Overview
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Network
Projects and Grants
(37)
Research output
(247)
Similar Profiles
(11)
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Dive into the research topics where Wei Pan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Weight
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Mathematics
Gene
67%
Interval-censored Data
39%
Gene Expression Data
34%
Microarray Data
34%
Gene Expression
31%
Penalized Regression
27%
Generalized Estimating Equations
25%
Model-based Clustering
25%
Performance
25%
Genomics
22%
Microarray
22%
Gene Networks
21%
Clustering
19%
Genome
18%
Mixture Model
18%
Variable Selection
16%
DNA-binding Protein
16%
Pathway
16%
Multiple Imputation
15%
Simulation Study
15%
Prediction
15%
Adaptive Test
15%
Linear regression
15%
Regression
14%
Penalty
14%
High-dimensional
14%
Feature Selection
13%
Model Selection
13%
Graphical Models
13%
Alzheimer's Disease
13%
Clustering Analysis
13%
Demonstrate
12%
Estimate
11%
Transcription Factor
11%
Regression Coefficient
11%
Joint Modeling
11%
Grouping
11%
Truncated Data
11%
Alternatives
11%
Censored Data
11%
Directed Acyclic Graph
11%
Likelihood
10%
Simulation
10%
Gene Expression Profile
10%
Generalized Linear Model
9%
Model
9%
Two-sample Test
9%
Instrumental Variables
9%
Partial Least Squares
9%
Medicine & Life Sciences
Genome-Wide Association Study
100%
Single Nucleotide Polymorphism
56%
Genes
52%
Gene Expression
50%
Statistics
44%
Datasets
40%
Transcriptome
29%
Cluster Analysis
22%
Multifactorial Inheritance
19%
Alzheimer Disease
19%
Neuroimaging
19%
Psychological Power
18%
Random Allocation
18%
Genome
18%
Linear Models
17%
Microarray Analysis
16%
Linkage Disequilibrium
16%
Gene Regulatory Networks
13%
Phenotype
12%
Oligonucleotide Array Sequence Analysis
12%
Least-Squares Analysis
12%
Endophenotypes
11%
Metals
11%
Data Analysis
11%
Deep Learning
10%
Genotype
10%
Brain
10%
Schizophrenia
9%
Temporomandibular Joint Disorders
9%
DNA Methylation
9%
Regression Analysis
8%
Quantitative Trait Loci
8%
Sample Size
8%
Statistical Models
8%
DNA-Binding Proteins
8%
Logistic Models
8%
Viverridae
8%
Population
8%
Safety
8%
LDL Cholesterol
7%
Direction compound
7%
Supervised Machine Learning
7%
Principal Component Analysis
7%
Occupational Groups
7%
Weights and Measures
7%
Methylation
6%
Software
6%
Genetic Heterogeneity
6%
Joints
6%