S
Sheida Nabavi
Researcher at University of Connecticut
Publications - 64
Citations - 1420
Sheida Nabavi is an academic researcher from University of Connecticut. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 15, co-authored 54 publications receiving 956 citations. Previous affiliations of Sheida Nabavi include Harvard University & Nazarbayev University.
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Journal ArticleDOI
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
TL;DR: A comprehensive evaluation of the performance of eleven differential gene expression analysis software tools, which are designed for scRNAseq data or can be applied to them, and found a trade-off between true-positive rates and the precision of calling DE genes.
Journal ArticleDOI
Deep convolutional neural networks for mammography: advances, challenges and applications
TL;DR: This survey conducted a detailed review of the strengths, limitations, and performance of the most recent CNNs applications in analyzing MG images and lists the best practices that improve the performance of CNNs including the pre-processing of images and the use of multi-view images.
Journal ArticleDOI
An evaluation of copy number variation detection tools for cancer using whole exome sequencing data
TL;DR: The limited performance of the current C NV detection tools for WES data in cancer indicates the need for developing more efficient and precise CNV detection methods.
Proceedings ArticleDOI
Two-Dimensional Generalized Partial Response Equalizer for Bit-Patterned Media
TL;DR: The effect of a 2D GPR equalizer on the performance of a patterned media system in the presence of track misregistration (TMR) is investigated and appears to be more tolerant to TMR than the conventional GPR.
Journal ArticleDOI
Epstein–Barr Virus Infection of Mammary Epithelial Cells Promotes Malignant Transformation
Hai Hu,Man-Li Luo,Man-Li Luo,Christine Desmedt,Sheida Nabavi,Sina Yadegarynia,Alex Hong,Panagiotis A. Konstantinopoulos,Edward Gabrielson,Rebecca Hines-Boykin,German Pihan,Xin Yuan,Christos Sotiriou,Dirk P. Dittmer,Joyce D. Fingeroth,Gerburg M. Wulf +15 more
TL;DR: It is concluded that a contribution of EBV to breast cancer etiology is plausible, through a mechanism in which EBV infection predisposes mammary epithelial cells to malignant transformation, but is no longer required once malignant Transformation has occurred.