533 citations
- Cornell UniversityUS77 papers
- Harvard UniversityUS11 papers
- Stanford UniversityUS9 papers
- CitigroupUS7 papers
- Columbia UniversityUS7 papers
- Massachusetts Institute of TechnologyUS7 papers
- Memorial Sloan Kettering Cancer CenterUS7 papers
- The University of Texas at AustinUS7 papers
- University of PennsylvaniaUS7 papers
- Georgia Institute of TechnologyUS6 papers
- Icahn School of Medicine at Mount SinaiUS6 papers
- Mayo ClinicUS6 papers
6 papers · 1 filter
Modulating human brain responses via optimal natural image selection and synthetic image generation
Zijin Gu, Keith Jamison, Mert R. Sabuncu +1
Understanding how human brains interpret and process information is important. Here, we investigated the selectivity and inter-individual differences in human brain responses to im…
Integrating Hypertension Phenotype and Genotype with Hybrid Non-negative Matrix Factorization
Yuan Luo, Chengsheng Mao, Yiben Yang +5
Hypertension is a heterogeneous syndrome in need of improved subtyping using phenotypic and genetic measurements so that patients in different subtypes share similar pathophysiolog…
Monotonicity-based Electrical Impedance Tomography for Lung Imaging
Liangdong Zhou, Bastian Harrach, Jin Keun Seo
This paper presents a monotonicity-based spatiotemporal conductivity imaging method for continuous regional lung monitoring using electrical impedance tomography (EIT). The EIT dat…
GobyWeb: simplified management and analysis of gene expression and DNA methylation sequencing data
Kevin C. Dorff, Nyasha Chambwe, Zachary Zeno +2
We present GobyWeb, a web-based system to facilitate the management and analysis of high-throughput sequencing (HTS) projects. The software provides integrated support for a broad…
Compression of structured high-throughput sequencing data
Fabien Campagne, Kevin C. Dorff, Nyasha Chambwe +3
Large biological datasets are being produced at a rapid pace and create substantial storage challenges, particularly in the domain of high-throughput sequencing (HTS). Most approac…
Pairwise maximum entropy models for studying large biological systems: when they can and when they can't work
Yasser Roudi, Sheila Nirenberg, Peter Latham
One of the most critical problems we face in the study of biological systems is building accurate statistical descriptions of them. This problem has been particularly challenging b…