Browsing by Author "Braga-Neto, Ulisses"
Now showing items 1-20 of 55
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Su, Junjie (2012-02-14)Finding reliable gene markers for accurate disease classification is very challenging due to a number of reasons, including the small sample size of typical clinical data, high noise in gene expression measurements, and ...
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Jeon, Nicholas (2021-04-16)We consider two problems related to uncoordinated multiple access. The first is the design of schemes that can identify the set of active users. The second is the design of low complexity multiuser detection schemes. We ...
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Wang, Bo (2017-12-01)In the past decade, much progress has been made in image denoising due to the use of low-rank representation and sparse coding, the performance of image denoising has been boosted drastically by nonlocal algorithms and ...
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Zollanvari, Amin; Cunningham, Mary Jane; Braga-Neto, Ulisses; Dougherty, Edward R (BMC Bioinformatics, 2009)
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Guo, Zhengyu (2017-11-02)High-throughput sequencing has become one of the most powerful tools for studies in genomics, transcriptomics, epigenomics, and metagenomics. In recent years, HTS protocols for enhancing the understanding of the diverse ...
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McConnell, Stephen Craig (2017-02-01)Duchenne muscular dystrophy is a fatal, congenital disease affecting males. Histopathological methods have served to aid in its diagnosis; however, the ratio of skeletal muscle tissue constituents—a theoretical marker of ...
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Vu, Thang (2012-07-16)The small-sample size issue is a prevalent problem in Genomics and Proteomics today. Bootstrap, a resampling method which aims at increasing the efficiency of data usage, is considered to be an effort to overcome the problem ...
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Sun, Youting; Zhang, Jianqiu; Braga-Neto, Ulisses; Dougherty, Edward R (BMC Bioinformatics, 2010)
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Karimi, Mostafa (2020-10-27)Drug resistance is a fundamental barrier to developing robust antimicrobial and anticancer therapies. Its first sign was observed in the 1940s, soon after discovering penicillin, the first modern antibiotic. This dissertation ...
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Agyepong, Kwadwo (2012-10-19)Thus far, a plethora of analysis on genome-wide gene expression microarray experiments on the cell cycle have been reported. Time series data from these experiments include gene expression profiles that might be periodically ...
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Koonchanok, Ratanond (2017-12-04)Sparse canonical correlation analysis (sparse CCA) is a method for identifying sparse linear combinations of the two sets of variables that are highly correlated with each other, given that those two sets of measurements ...
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Jia, Xiaoqian (2019-11-18)Cone-beam computed tomography (CBCT) is increasingly used in radiotherapy for patient alignment and adaptive therapy where organ segmentation and target delineation are often required. However, due to the poor image quality, ...
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McClenny, Levi Daniel (2022-04-13)Extensive work in applying deep learning to broader fields of science and engineering have been emerging in recent times, to include materials informatics, thermodynamics, and numerous other fields of computational sciences. ...
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Li, Jin (2018-10-03)A large volume of gene expression data is being generated for studying mechanisms of various biological processes. These precious data enabled various computational analyses to speed up the understanding of biological ...
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Garg, Vineet (2019-04-16)Video object segmentation is gaining increased research and commercial importance in recent times from no checkout lines in Amazon Go stores to autonomous vehicles operating on roads. Efficient operation for such use cases ...
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Suresh, Karthik (2019-04-04)Object detection from images captured by Unmanned Aerial Vehicles (UAVs) is becoming dramatically useful. Despite the great success of the generic object detection methods trained on ground-to-ground images, a huge performance ...
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Da Cunha Silva, Dennis (2023-08-03)Stress is an unavoidable part of the human experience. While small doses of stress can help one focus and improve productivity, being constantly exposed to stressors can lead to deleterious health outcomes. As such, ...
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Kim, Eunji (2019-10-08)The recent advancements in high-throughput technologies provide a wealth of information on gene expression patterns and gene-regulatory pathways. As a result, researchers in life sciences have an unprecedented opportunity ...
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Hwang, Dae Yon (2016-05-03)Endogenous fluorescence lifetime imaging microscopy (FLIM) provides a nondestructive means to interrogate the biochemical composition of biological tissues. Therefore, it has the potential to identify tissue pre-malignant ...
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Katiyar, Ashish (2017-04-10)Understanding the heterogeneous nature of cancer tissue is a very important problem in cancer research. It can give insights into the cause of disease, its progression and explain induced drug resistance. There are two ...