144 citations
- Harvard UniversityUS2 papers
- Johns Hopkins UniversityUS2 papers
- National Institute of Mental HealthUS2 papers
- Rutgers, The State University of New JerseyUS2 papers
- Canadian Institute for Advanced ResearchCA1 paper
- Columbia UniversityUS1 paper
- Dana-Farber Cancer InstituteUS1 paper
- Dana-Farber/Harvard Cancer CenterUS1 paper
- Duke UniversityUS1 paper
- John Radcliffe HospitalGB1 paper
- Johns Hopkins MedicineUS1 paper
- Joint Center for Quantum Information and Computer ScienceUS1 paper
8 papers
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images
Jingru Yi, Pengxiang Wu, Hui Tang +7
Instance segmentation is of great importance for many biological applications, such as study of neural cell interactions, plant phenotyping, and quantitatively measuring how cells…
Object-Guided Instance Segmentation for Biological Images
Jingru Yi, Hui Tang, Pengxiang Wu +5
Instance segmentation of biological images is essential for studying object behaviors and properties. The challenges, such as clustering, occlusion, and adhesion problems of the ob…
Quantum Computing at the Frontiers of Biological Sciences
Prashant S. Emani, Jonathan Warrell, Alan Anticevic +15
The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we pus…
Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes
Jingru Yi, Pengxiang Wu, Qiaoying Huang +4
Most existing methods handle cell instance segmentation problems directly without relying on additional detection boxes. These methods generally fails to separate touching cells du…
Multiple testing of local maxima for detection of peaks in ChIP-Seq data
Armin Schwartzman, Andrew Jaffe, Yulia Gavrilov +1
A topological multiple testing approach to peak detection is proposed for the problem of detecting transcription factor binding sites in ChIP-Seq data. After kernel smoothing of th…
Gene set bagging for estimating replicability of gene set analyses
Andrew E. Jaffe, John D. Storey, Hongkai Ji +1
Background: Significance analysis plays a major role in identifying and ranking genes, transcription factor binding sites, DNA methylation regions, and other high-throughput featur…