Browsing by Author "Shen, Yang"
Now showing items 1-20 of 38
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Kapale, Anurag (2019-11-19)The recent developments in machine learning have shown its applicability in numerous real-world applications. However, building an optimal machine learning pipeline requires considerable knowledge and experience in data ...
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Lahiri, Aditya (2022-03-14)Agricultural productivity is severely limited by environmental stresses that affect plants. Environmental stresses can be classified as abiotic or biotic. This study focuses on drought and saline stress, the two significant ...
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Martinez Garcia, Diego Serafin (2022-03-22)Machine Learning (ML) has been rapidly progressing through the years due to its versatility to solve different problems. As a result, many machine learning frameworks have been created that are a collection of different ...
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Lahiri, Aditya (2018-07-31)Plants are sessile organisms and are unable to relocate to favorable locations under extreme environmental conditions, and hence they have no choice but to acclimate and eventually adapt to the severe conditions to ensure ...
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Mohanty, Anwoy Kumar (2015-08-12)Cellular behavior is controlled through multivariate interactions between various biological molecules such as proteins and DNA. Various methods have previously been proposed to model such interactions. However many of ...
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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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Nallaparaju, Venkata Vikas Varma (2018-11-21)RNA sequence analysis and structure prediction are classical topics of computational biology and a powerful tool to examine complex genomic data. Over the decades, various tools have been developed to predict RNA secondary ...
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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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Goel, Pankaj (2020-04-14)With industry 4.0, a new era of the industrial revolution with a focus on automation, inter-connectivity, machine learning, and real-time data collection and analysis are emerging. The smart digital technology which includes ...
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Yan, Yi (2018-05-08)CRISPR-Cas9 has been employed as a genome editing tool in a wide range of cells of different organisms. One of the biggest challenges it faces is to maintain the efficiency of the gene regulation. To address this challenge, ...
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Jin, Haifeng (2021-03-11)Deep learning has been widely applied for its success in many real-world applications. To adopt deep learning, people often need to go through a non-trivial learning curve like learning the foundation of machine learning ...
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Fanning, Sean W; Mayne, Christopher G; Dharmarajan, Venkatasubramanian; Carlson, Kathryn E; Martin, Teresa A; Novick, Scott J; Toy, Weiyi; Green, Bradley; Panchamukhi, Srinivas; Katzenellenbogen, Benita S; Tajkhorshid, Emad; Griffin, Patrick R; Shen, Yang; Chandarlapaty, Sarat; Katzenellenbogen, John A; Greene, Geoffrey L; Tontonoz, Peter (ELife, 2016)
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Tang, Jiaxing (2018-08-02)Global warming is a popular topic and has drawn widespread attention all over the world, because it gradually affects people’s normal life. In the long term, carbon capture and storage (CCS) technology is a promising choice ...
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Knox, Derrick Bruce (2020-07-28)Phantom sensations are frequently seen in amputees, and occur in some mental disorders like Alzheimer’s and Parkinson’s disease. Despite their common occurrence, there are several complicating factors that make it difficult ...
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Tan, Wuwei (2023-08-02)It is critical to accurately predict genomic variations’ effects, as those variations are closely related to human health and disease development. However, due to the lack of the data and the understanding of the variation ...
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Shen, Yang (2022-07-20)Sustainability and resilience are becoming major objectives of the future built environment. Although each of them has been developed independently, there is limited research on holistic integration. This dissertation (from ...
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Vercruysse, Maarten; Caroline Köhrer; Shen, Yang; Proulx, Sandra; Ghosal, Anubrata; Davies, Bryan; RajBhandary, Uttam; Walker, Graham (MBio, 2016)
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Zhou, Fangtong (2020-04-16)This project focuses on developing machine learning methods to predict protein-ligand interactions. The unique proteins under study are nuclear receptors (NRs), which regulate hormone-triggered gene transcription and are ...
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Chen, Haoran (2018-07-31)Protein-protein interactions (PPIs) are crucial to cellular function, yet researchers still have much to discover about their mechanisms. At the molecular level, two new computational tools are proposed in this study to ...
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He, Yun (2022-05-19)Machine learning plays a significant role in powering artificial intelligence advances in many areas like natural language processing and personalized recommendation, aiming to build models to fit the labeled training data ...