30 citations · 75 across the 9 of their papers we have counts for
9 papers
Deep CNN Frame Interpolation with Lessons Learned from Natural Language Processing
Kian Ghodoussi, Nihar Sheth, Zane Durante +1
A major area of growth within deep learning has been the study and implementation of convolutional neural networks. The general explanation within the deep learning community of th…
Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides: Understanding Randomness in Clinical Outcomes Following Stem Cell Transplantation
V Koparde, B Abdul Razzaq, T Suntum +12
Alloreactivity following stem cell transplantation (SCT) is difficult to predict in patients undergoing transplantation from HLA matched donors. In this study we performed whole ex…
Massive Multi-Omics Microbiome Database (M3DB): A Scalable Data Warehouse and Analytics Platform for Microbiome Datasets
Shaun W. Norris, Steven P. Bradley, Hardik I. Parikh +1
Massive Multi-Omics Microbiome Database (M3DB) is a data warehousing and analytics solution designed to handle diverse, complex, and unprecedented volumes of sequence and taxonomic…
MEEPTOOLS: A maximum expected error based FASTQ read filtering and trimming toolkit
Vishal N. Koparde, Hardik I. Parikh, Steven P. Bradley +1
Next generation sequencing technology rapidly produces massive volume of data and quality control of this sequencing data is essential to any genomic analysis. Here we present MEEP…
MeFiT: Merging and Filtering Tool for Illumina Paired-End Reads for 16S rRNA Amplicon Sequencing
Hardik I. Parikh, Vishal N. Koparde, Steven P. Bradley +2
Recent advances in next-generation sequencing have revolutionized genomic research. 16S rRNA amplicon sequencing using paired-end sequencing on the MiSeq platform from Illumina, In…
Dynamical System Modeling to Simulate Donor T Cell Response to Whole Exome Sequencing-Derived Recipient Peptides Demonstrates Different Alloreactivity Potential In HLA-Matched and Mismatched Donor-Recipient Pairs
B. Abdul Razzaq, A. Scalora, V. Koparde +14
Stem cell transplants may be considered as dynamical systems to allow sequence differences across the exomes of the transplant donors and recipients to be used to simulate an allor…
In Silico Derivation of HLA-Specific Alloreactivity Potential from Whole Exome Sequencing of Stem Cell Transplant Donors and Recipients: Understanding the Quantitative Immuno-biology of Allogeneic Transplantation
Max Jameson-Lee, Vishal Koparde, Phil Griffith +12
Donor T cell mediated graft vs. host effects may result from the aggregate alloreactivity to minor histocompatibility antigens (mHA) presented by the HLA in each donor-recipient pa…
Stem Cell Transplantation As A Dynamical System: Are Clinical Outcomes Deterministic?
Amir A Toor, Jared D Kobulnicky, Salman Salman +14
Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However the clinical course following SCT appears to demonstrate many characteristics of dynamical…
Whole Exome Sequencing to Estimate Alloreactivity Potential Between Donors and Recipients in Stem Cell Transplantation
Juliana K. Sampson, Nihar U. Sheth, Vishal N. Koparde +10
Whole exome sequencing was performed on HLA-matched stem cell donors and transplant recipients to measure sequence variation contributing to minor histocompatibility antigen differ…