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An interpretable protein localization prediction framework
(University of Missouri--Columbia, 2021)
at https://www.mu-loc.org/....
Application of deep reinforcement learning for battery design
(University of Missouri--Columbia, 2020)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] The conventional material research and development are mainly driven by human intuition, labor, and manual decision. It is ineffective and inefficient. ...
Pathway curator: an online webserver extracting genes and interactions from figures
(University of Missouri--Columbia, 2022)
increase of the literature requires laborious extraction of information from a publication at a time. A gene pathway map recognition system is devised and implemented in this study. Based on the pathway map and relevant information supplied by users...
A comprehensive web-based platform for multi-omics data-driven phenotype prediction and marker discovery
(University of Missouri--Columbia, 2023)
and other biological phenomena. Moreover, the server integrates The Cancer Genome Atlas (TCGA) datasets with long-term and non-long-term survival phenotypes. The server and the Python-based deep-learning model are available at https://g2pdeep.org and https://github.com/shuaizengMU...
Dynamic spatio-temporal graph neural networks for hot topic prediction in scientific literature
(University of Missouri--Columbia, 2020)
With information explosion occurring in past decades, the rapid growth of papers published results in the rapid change of hot topics, especially in the biomedical domain. It turns out very hard for researchers who are ...
Augmenting biological pathway extraction with synthetic data and active learning
(University of Missouri--Columbia, 2022)
The corpus of biomedical literature is growing rapidly as many papers are recorded in PubMed every day. These papers often contain high-quality biological pathways in their figures/text, which are great resources for ...
Natural language models for protein predictions using anti-CRISPR as a case
(University of Missouri--Columbia, 2022)
Acr proteins (Acrs) can inactivate the bacterial host's CRISPR-Cas defense system and promote bacteriophage infection. The discovery of Acr proteins creates a promising system to precisely control the CRISPR-Cas machinery ...
Deployment pipeline development at scale: automating software as a service
(University of Missouri--Columbia, 2022)
In recent years, adaptability has become the most important aspect of software. As technology companies grow, sustainable scalability and increased security become the main goals for developers, while the company's goals ...