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Wei Li
ASST PROF-TT
,
School of Public Health, Biostatistics
Email
wl522
rutgers
edu
h-index
608
Citations
8
h-index
Calculated based on number of publications stored in Pure and citations from Scopus
2016
2022
Research activity per year
Overview
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Network
Federal Grants
(1)
Research output
(23)
Similar Profiles
(6)
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Dive into the research topics where Wei Li 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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Medicine & Life Sciences
Gene Expression
58%
RNA Sequence Analysis
58%
Single-Cell Analysis
53%
RNA-Seq
39%
Genes
32%
Microbiota
27%
Chromatin
24%
Statistical Models
23%
Genome
22%
Publications
22%
Epigenome
21%
Coronavirus Infections
19%
Computational Biology
17%
Polyadenylation
17%
Epigenomics
17%
Cellular Microenvironment
17%
Research Design
16%
Esophageal Squamous Cell Carcinoma
16%
Datasets
15%
Transcriptome
15%
Cluster Analysis
15%
Protein Isoforms
15%
Genetic Association Studies
14%
Biological Phenomena
12%
Type 1 Diabetes Mellitus
12%
Technology
11%
Tumor Microenvironment
11%
China
11%
Gastrointestinal Microbiome
10%
Gene Regulatory Networks
9%
Benchmarking
9%
T-Lymphocytes
9%
Anti-Bacterial Agents
8%
Mothers
8%
Inbred NOD Mouse
8%
Data Analysis
8%
Small Cytoplasmic RNA
8%
Metadata
6%
Incidence
6%
Population
6%
High-Throughput Nucleotide Sequencing
6%
Gene Expression Profiling
5%
Exons
5%
Phylogeny
5%
Natural Killer Cells
5%
Mathematics
Sequencing
67%
Cell
52%
Gene
32%
Gene Expression
27%
Simulator
23%
Gene Expression Data
22%
Experimental design
20%
Joint Modeling
18%
Matrix Factorization
17%
Cell Population
16%
Count Data
15%
Quantification
15%
Overlap
13%
Homogeneity
13%
Physiology
13%
Computational Methods
12%
Similarity
11%
Animals
11%
Clustering Analysis
10%
Review
9%
Modeling
9%
Testing
9%
Model
7%
Statistical Model
6%
Unsupervised Clustering
5%
Bioinformatics
5%
Fidelity
5%
Data Integration
5%
Model Fitting
5%
Synthetic Data
5%
Preprocessing
5%
Probabilistic Model
5%
Non-negative Matrix Factorization
5%
High Throughput
5%
Engineering & Materials Science
RNA
100%
Gene expression
58%
Genes
45%
Computational methods
22%
Physiology
22%
Factorization
20%
Design of experiments
18%
Animals
17%
Simulators
14%
Cells
14%
Statistical Models
14%
Tissue
9%
Data integration
7%
Bioinformatics
6%
Statistical methods
6%
Pathology
5%
