activity
20122026
most citedBayesian Inference for Latent Biologic Structure with Determinantal Point Processes (DPP)

25 citations · 87 across the 19 of their papers we have counts for

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7 papers · 1 filter

stat.AP2024

PDXpower: A Power Analysis Tool for Experimental Design in Pre-clinical Xenograft Studies for Uncensored and Censored Outcomes

Shanpeng Li, Donatello Telesca, Harley I. Kornblum +5

In cancer research, leveraging patient-derived xenografts (PDXs) in pre-clinical experiments is a crucial approach for assessing innovative therapeutic strategies. Addressing the i…

stat.AP2018★ 1 cited

Region-Referenced Spectral Power Dynamics of EEG Signals: A Hierarchical Modeling Approach

Qian Li, John Shamshoian, Damla Senturk +4

Functional brain imaging through electroencephalography (EEG) relies upon the analysis and interpretation of high-dimensional, spatially organized time series. We propose to repres…

stat.AP2016

Inferring Brain Signals Synchronicity from a Sample of EEG Readings

Qian Li, Damla Senturk, Catherine A. Sugar +4

Inferring patterns of synchronous brain activity from a heterogeneous sample of electroencephalograms (EEG) is scientifically and methodologically challenging. While it is intuitiv…

stat.AP2015★ 20 cited

A Bayesian regression tree approach to identify the effect of nanoparticles' properties on toxicity profiles

Cecile Low-Kam, Donatello Telesca, Zhaoxia Ji +4

We introduce a Bayesian multiple regression tree model to characterize relationships between physico-chemical properties of nanoparticles and their in-vitro toxicity over multiple…

stat.AP2014★ 3 cited

Comparison of Clustering Methods for Time Course Genomic Data: Applications to Aging Effects

Yafeng Zhang, Steve Horvath, Roel Ophoff +1

Time course microarray data provide insight about dynamic biological processes. While several clustering methods have been proposed for the analysis of these data structures, compa…

stat.AP2013★ 13 cited

Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling

Trina Patel, Donatello Telesca, Saji George +1

New generation in vitro high-throughput screening (HTS) assays for the assessment of engineered nanomaterials provide an opportunity to learn how these particles interact at the ce…