USC Computer Science Technical Reports, no. 877 (2006)
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USC Computer Science Technical Reports, no. 914 (2010)
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USC Computer Science Technical Reports, no. 715 (1999)
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Novel computational methods of disease gene and variant discovery, parallelization and applications
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Profiling transcription factor-DNA binding specificity
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Genome-wide studies of protein–DNA binding: beyond sequence towards biophysical and physicochemical models
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Quantitative modeling of in vivo transcription factor–DNA binding and beyond
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Algorithmic study on mass spectrometry and proteomics
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Computer vision approaches to the analysis of animal behavior
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Exploring the genetic basis of quantitative traits
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Understanding the impact of cell-to-cell variability on intracellular signaling in CAR cells through mathematical modeling
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Developing statistical and algorithmic methods for shotgun metagenomics and time series analysis
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Computational analysis of the spatial and temporal organization of the cellular environment
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Integrative approach of biological systems analysis on regulatory pathways, modules, protein essentialities, and disease gene classification
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Mapping epigenetic and epistatic components of heritability in natural population
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Robustness and stochasticity in Drosophila development
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Spatial and quantitative mapping of caveolin-1 membrane nanodomains and their functional dynamic response to mechanosignaling cues
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Computational tools for large-scale analysis of brain function and structure
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Structure – dynamics – function analysis of class A GPCRs and exploration of chemical space using integrative computational approaches
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Computational construction and analysis of DNA and RNA
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Prevalence and distribution of facial alveolar bone fenestrations in the anterior dentition: a cone beam computed tomography analysis
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Computational transcranial magnetic stimulation (TMS)
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Detection of deleted and duplicated genomic DNA using HMM analysis of GeneChip data
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Genome-wide studies reveal the function and evolution of DNA shape
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Patterning and growth in biological systems: a computational exploration of biological robustness, epithelial growth dynamics and development
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