Application of machine learning in bacteriophage research
Phages are one of the key components in the structure, dynamics, and interactions of
microbial communities in different bins. It has a clear impact on human health and the food …
microbial communities in different bins. It has a clear impact on human health and the food …
[HTML][HTML] Screening of potential probiotic lactic acid bacteria with antimicrobial properties and selection of superior bacteria for application as biocontrol using machine …
Abstract 144 lactic acid bacteria (LAB) strains were screened to find those with the best
antimicrobial activity and potential probiotic properties. Firstly, bacteria were tested for …
antimicrobial activity and potential probiotic properties. Firstly, bacteria were tested for …
Weighted gene co-expression network analysis identifies modules and functionally enriched pathways in the lactation process
The exponential growth in knowledge has resulted in a better understanding of the lactation
process in a wide variety of animals. However, the underlying genetic mechanisms are not …
process in a wide variety of animals. However, the underlying genetic mechanisms are not …
[HTML][HTML] Identification of gene expression signature for drought stress response in barley (Hordeum vulgare L.) using machine learning approach
Barley (Hordeum vulgare L.) is an important cereal crop, playing a pivotal role in global
agriculture and food systems. Drought has a significant impact on barley growth and yield …
agriculture and food systems. Drought has a significant impact on barley growth and yield …
Integrative systems biology analysis elucidates mastitis disease underlying functional modules in dairy cattle
Background: Mastitis is the most prevalent disease in dairy cattle and one of the most
significant bovine pathologies affecting milk production, animal health, and reproduction. In …
significant bovine pathologies affecting milk production, animal health, and reproduction. In …
[HTML][HTML] Deciphering plant transcriptomes: Leveraging machine learning for deeper insights
Plant transcriptomics is an important field for understanding the dynamics of gene
expression, regulatory mechanisms and interactions underlying plant development and …
expression, regulatory mechanisms and interactions underlying plant development and …
Probiotic potential characterization and clustering using unsupervised algorithms of lactic acid bacteria from saltwater fish samples
This research aimed to isolate lactic acid bacteria from the bowel of saltwater fish to assess
their potential probiotic properties. Nineteen isolates of LAB including Lactiplantibacillus …
their potential probiotic properties. Nineteen isolates of LAB including Lactiplantibacillus …
[HTML][HTML] Transcriptome signature for multiple biotic and abiotic stress in barley (Hordeum vulgare L.) identifies using machine learning approach
B Panahi - Current Plant Biology, 2024 - Elsevier
Barley (Hordeum vulgare L.) is exposed to various biotic and abiotic stresses, making it
crucial to fully understand the gene signatures that respond to stress. This study utilizes …
crucial to fully understand the gene signatures that respond to stress. This study utilizes …
Application of unsupervised clustering algorithm and heat-map analysis for selection of lactic acid bacteria isolated from dairy samples based on desired probiotic …
Phenotypic and genotypic characterization of candidate probiotic strains are indispensable
steps to the nourishments utilization. Hence, in this study, sixty-three lactic acid bacteria …
steps to the nourishments utilization. Hence, in this study, sixty-three lactic acid bacteria …
[HTML][HTML] Supervised and unsupervised machine learning approaches for prediction and geographical discrimination of Iranian saffron ecotypes based on flower …
A two-year field experiment (2014–2016; Zanjan, Iran) was conducted to monitor potential
diversity pattern and adaptability power among 18 Iranian saffron ecotypes under Zanjan …
diversity pattern and adaptability power among 18 Iranian saffron ecotypes under Zanjan …