338 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- The University of Texas MD Anderson Cancer CenterUS17 papers
- The University of Texas Health Science CenterUS15 papers
- Yale UniversityUS13 papers
- Rice UniversityUS12 papers
- Fudan UniversityCN7 papers
- Harvard UniversityUS7 papers
- Mayo Clinic in FloridaUS7 papers
- National Institutes of HealthUS6 papers
- University of PennsylvaniaUS6 papers
- Texas A&M UniversityUS5 papers
- Baylor College of MedicineUS4 papers
- Cornell UniversityUS4 papers
5 papers · 1 filter
Multivariate Functional Regression Models for Epistasis Analysis
Futao Zhang, Dan Xie, Meimei Liang +1
To date, most genetic analyses of phenotypes have focused on analyzing single traits or, analyzing each phenotype independently. However, joint epistasis analysis of multiple compl…
A New Statistical Framework for Genetic Pleiotropic Analysis of High Dimensional Phenotype Data
Panpan Wang, Mohammad Rahman, Li Jin +1
The widely used genetic pleiotropic analysis of multiple phenotypes are often designed for examining the relationship between common variants and a few phenotypes. They are not sui…
Identifying Seizure Onset Zone from the Causal Connectivity Inferred Using Directed Information
Rakesh Malladi, Giridhar Kalamangalam, Nitin Tandon +1
In this paper, we developed a model-based and a data-driven estimator for directed information (DI) to infer the causal connectivity graph between electrocorticographic (ECoG) sign…
Modeling Maintenance of Long-Term Potentiation in Clustered Synapses, Long-Term Memory Without Bistability
Paul Smolen
Memories are stored, at least partly, as patterns of strong synapses. Given molecular turnover, how can synapses maintain strong for the years that memories can persist? Some model…
Random Bits Regression: a Strong General Predictor for Big Data
Yi Wang, Yi Li, Momiao Xiong +1
To improve accuracy and speed of regressions and classifications, we present a data-based prediction method, Random Bits Regression (RBR). This method first generates a large numbe…