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Machine learning and its applications for protozoal pathogens and protozoal infectious diseases
In recent years, massive attention has been attracted to the development and application of
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …
A microbial knowledge graph-based deep learning model for predicting candidate microbes for target hosts
J Pan, Z Zhang, Y Li, J Yu, Z You, C Li… - Briefings in …, 2024 - academic.oup.com
Predicting interactions between microbes and hosts plays critical roles in microbiome
population genetics and microbial ecology and evolution. How to systematically characterize …
population genetics and microbial ecology and evolution. How to systematically characterize …
[HTML][HTML] Machine learning for predicting Plasmodium liver stage development in vitro using microscopy imaging
CF Otesteanu, R Caldelari, V Heussler… - Computational and …, 2024 - Elsevier
Malaria, a significant global health challenge, is caused by Plasmodium parasites. The
Plasmodium liver stage plays a pivotal role in the establishment of the infection. This study …
Plasmodium liver stage plays a pivotal role in the establishment of the infection. This study …
[HTML][HTML] Multi-level biological network analysis and drug repurposing based on leukocyte transcriptomics in severe COVID-19: in silico systems biology to precision …
P Sagulkoo, H Chuntakaruk, T Rungrotmongkol… - Journal of personalized …, 2022 - mdpi.com
The coronavirus disease 2019 (COVID-19) pandemic causes many morbidity and mortality
cases. Despite several developed vaccines and antiviral therapies, some patients …
cases. Despite several developed vaccines and antiviral therapies, some patients …
[HTML][HTML] Gene association classification for autism spectrum disorder: Leveraging gene embedding and differential gene expression profiles to identify disease-related …
Identifying genes associated with autism spectrum disorder (ASD) is crucial for
understanding the underlying mechanisms of the disorder. However, ASD is a complex …
understanding the underlying mechanisms of the disorder. However, ASD is a complex …
Heterogeneous network propagation with forward similarity integration to enhance drug–target association prediction
Identification of drug–target interaction (DTI) is a crucial step to reduce time and cost in the
drug discovery and development process. Since various biological data are publicly …
drug discovery and development process. Since various biological data are publicly …
Phenolic content discrimination in Thai holy basil using hyperspectral data analysis and machine learning techniques
Hyperspectral imaging has emerged as a powerful tool for the non-destructive assessment
of plant properties, including the quantification of phytochemical contents. Traditional …
of plant properties, including the quantification of phytochemical contents. Traditional …
Integration of various protein similarities using random forest technique to infer augmented drug-protein matrix for enhancing drug-disease association prediction
Identifying new therapeutic indications for existing drugs is a major challenge in drug
repositioning. Most computational drug repositioning methods focus on known targets …
repositioning. Most computational drug repositioning methods focus on known targets …
[HTML][HTML] Immune-related protein interaction network in severe COVID-19 patients toward the identification of key proteins and drug repurposing
Coronavirus disease 2019 (COVID-19) is still an active global public health issue. Although
vaccines and therapeutic options are available, some patients experience severe conditions …
vaccines and therapeutic options are available, some patients experience severe conditions …
Current Trend and Performance Evaluation of Machine Learning Methods for Predicting Host-Pathogen Protein-Protein Interactions
Host-pathogen interactions (HPI) play a vital role in the study of infectious disease
mechanisms. Experimental identification of the interaction between a host and pathogen has …
mechanisms. Experimental identification of the interaction between a host and pathogen has …