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Chen, Lin
One or more keywords matched the following properties of Chen, Lin
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keywords big data, integrative genomics, statistical methods, software development
overview Dr. Chen's overall research interests focus on developing statistical methods for analyzing 'big' integrative genomics data. Her lab has developed statistical methods for ‘omics’ studies that involve multiple types of large-scale high-dimensional data sets, for example, genetic data, gene transcriptional expression data, proteomic data and complex phenotypes. Besides methodology development, her lab has also developed many R packages.
One or more keywords matched the following items that are connected to Chen, Lin
Item TypeName
Concept Biometry
Concept Chromosome Mapping
Concept Pilot Projects
Concept Mammography
Concept Mass Spectrometry
Concept Risk Assessment
Concept Case-Control Studies
Concept Chemoprevention
Concept Genetic Association Studies
Concept Databases, Genetic
Concept Gene Expression Profiling
Concept High-Throughput Nucleotide Sequencing
Concept Models, Statistical
Concept Early Detection of Cancer
Concept Genome-Wide Association Study
Concept Data Interpretation, Statistical
Concept Magnetic Resonance Imaging
Concept Ultrasonography, Mammary
Concept Genomics
Academic Article An exponential combination procedure for set-based association tests in sequencing studies.
Academic Article A unified set-based test with adaptive filtering for gene-environment interaction analyses.
Academic Article Co-occurring expression and methylation QTLs allow detection of common causal variants and shared biological mechanisms.
Academic Article Using multivariate mixed-effects selection models for analyzing batch-processed proteomics data with non-ignorable missingness.
Academic Article Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis.
Academic Article A penalized EM algorithm incorporating missing data mechanism for Gaussian parameter estimation.
Academic Article A MIXED-EFFECTS MODEL FOR INCOMPLETE DATA FROM LABELING-BASED QUANTITATIVE PROTEOMICS EXPERIMENTS.
Academic Article Insights into colon cancer etiology via a regularized approach to gene set analysis of GWAS data.
Award or Honor Receipt Program Chair-Elect for the Section on Statistics in Genomics and Genetics
Grant Arsenic and the Human Genome: susceptibility and response to exposure
Grant Systems Biology based Proteogenomic Translator for Cancer Marker Discovery towards Precision Medicine
Grant Multivariate functional analysis of the genetic basis of cancer
Grant Genetic mechanisms underlying sexual dimorphism in cancer and response to therapy
Grant Integrative multivariate association and genomic analyses
Academic Article Insights into Impact of DNA Copy Number Alteration and Methylation on the Proteogenomic Landscape of Human Ovarian Cancer via a Multi-omics Integrative Analysis.
Search Criteria
  • big
  • data
  • integrative
  • genomics
  • statistical
  • methods
  • software
  • development