65 citations
- University of PittsburghUS7 papers
- Arizona State UniversityUS2 papers
- The University of Texas at San AntonioUS2 papers
- University of Pittsburgh Medical CenterUS2 papers
- VA Pittsburgh Healthcare SystemUS2 papers
- Carnegie Mellon UniversityUS1 paper
- Children's Hospital of PhiladelphiaUS1 paper
- Institute for Systems BiologyUS1 paper
- Mashhad University of Medical SciencesIR1 paper
- Nanfang HospitalCN1 paper
- Peking UniversityCN1 paper
- Pittsburg State UniversityUS1 paper
10 papers
Deep Learning: a Heuristic Three-stage Mechanism for Grid Searches to Optimize the Future Risk Prediction of Breast Cancer Metastasis Using EHR-based Clinical Data
Xia Jiang, Yijun Zhou, Chuhan Xu +2
A grid search, at the cost of training and testing a large number of models, is an effective way to optimize the prediction performance of deep learning models. A challenging task…
Understanding YTHDF2-mediated mRNA Degradation By m6A-BERT-Deg
Ting-He Zhang, Sumin Jo, Michelle Zhang +3
N6-methyladenosine (m6A) is the most abundant mRNA modification within mammalian cells, holding pivotal significance in the regulation of mRNA stability, translation, and splicing.…
Medical image registration using unsupervised deep neural network: A scoping literature review
Samaneh Abbasi, Meysam Tavakoli, Hamid Reza Boveiri +5
In medicine, image registration is vital in image-guided interventions and other clinical applications. However, it is a difficult subject to be addressed which by the advent of ma…
Toward Deep Learning Based Access Control
Mohammad Nur Nobi, Ram Krishnan, Yufei Huang +2
A common trait of current access control approaches is the challenging need to engineer abstract and intuitive access control models. This entails designing access control informat…
Reconstructing data-driven governing equations for cell phenotypic transitions: integration of data science and systems biology
Jianhua Xing
Cells with the same genome can exist in different phenotypes. and can change between distinct phenotypes when subject to specific stimuli and microenvironments. Some examples inclu…
Spatial clustering and common regulatory elements correlate with coordinated gene expression
Jingyu Zhang, Hengyu Chen, Ruoyan Li +4
Many cellular responses to surrounding cues require temporally concerted transcriptional regulation of multiple genes. In prokaryotic cells, a single-input-module motif with one tr…