AIMC Topic: Saccharomyces cerevisiae

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ACDMBI: A deep learning model based on community division and multi-source biological information fusion predicts essential proteins.

Computational biology and chemistry Jun 6, 2024
Accurately identifying essential proteins is vital for drug research and disease diagnosis. Traditional centrality methods and machine learning approaches often face challenges in accurately discerning essential proteins, primarily relying on informa...
Computational Biology Proteins Saccharomyces cerevisiae Deep Learning Protein Interaction Maps
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Machine learning enables identification of an alternative yeast galactose utilization pathway.

Proceedings of the National Academy of Sciences of the United States of America Apr 26, 2024
How genomic differences contribute to phenotypic differences is a major question in biology. The recently characterized genomes, isolation environments, and qualitative patterns of growth on 122 sources and conditions of 1,154 strains from 1,049 fung...
Machine Learning Saccharomyces cerevisiae Genome, Fungal Metabolic Networks and Pathways Galactose
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CoVar: A generalizable machine learning approach to identify the coordinated regulators driving variational gene expression.

PLoS computational biology Apr 17, 2024
Network inference is used to model transcriptional, signaling, and metabolic interactions among genes, proteins, and metabolites that identify biological pathways influencing disease pathogenesis. Advances in machine learning (ML)-based inference mod...
Gene Expression Regulation Saccharomyces cerevisiae Gene Regulatory Networks Computational Biology Machine Learning Algorithms Computer Simulation Gene Expression Profiling
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Automated segmentation of cell organelles in volume electron microscopy using deep learning.

Microscopy research and technique Mar 19, 2024
Recent advances in computing power triggered the use of artificial intelligence in image analysis in life sciences. To train these algorithms, a large enough set of certified labeled data is required. The trained neural network is then capable of pro...
HeLa Cells Microscopy, Electron Imaging, Three-Dimensional Image Processing, Computer-Assisted Volume Electron Microscopy Saccharomyces cerevisiae Organelles Humans Neural Networks, Computer Algorithms Deep Learning
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A high-speed microscopy system based on deep learning to detect yeast-like fungi cells in blood.

Bioanalysis Feb 9, 2024
Blood-invasive fungal infections can cause the death of patients, while diagnosis of fungal infections is challenging. A high-speed microscopy detection system was constructed that included a microfluidic system, a microscope connected to a high-sp...
Microscopy Saccharomyces cerevisiae Sensitivity and Specificity Deep Learning Humans
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FUN-PROSE: A deep learning approach to predict condition-specific gene expression in fungi.

PLoS computational biology Nov 16, 2023
mRNA levels of all genes in a genome is a critical piece of information defining the overall state of the cell in a given environmental condition. Being able to reconstruct such condition-specific expression in fungal genomes is particularly importan...
Computational Biology Transcription Factors Deep Learning Saccharomyces cerevisiae Gene Expression
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Automated quantification of vacuole fusion and lipophagy in from fluorescence and cryo-soft X-ray microscopy data using deep learning.

Autophagy Oct 31, 2023
During starvation in the yeast vacuolar vesicles fuse and lipid droplets (LDs) can become internalized into the vacuole in an autophagic process named lipophagy. There is a lack of tools to quantitatively assess starvation-induced vacuole fusion and...
Autophagy Microscopy, Fluorescence Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Deep Learning Tomography, X-Ray Lipid Droplets Vacuoles
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Prediction of Multiple Types of RNA Modifications via Biological Language Model.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2023
It has been demonstrated that RNA modifications play essential roles in multiple biological processes. Accurate identification of RNA modifications in the transcriptome is critical for providing insights into the biological functions and mechanisms. ...
RNA Saccharomyces cerevisiae Arabidopsis Pseudouridine Transcriptome Mice Artificial Intelligence Animals
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Prediction of Protein-Protein Interactions Using Vision Transformer and Language Model.

IEEE/ACM transactions on computational biology and bioinformatics Oct 9, 2023
The knowledge of protein-protein interaction (PPI) helps us to understand proteins' functions, the causes and growth of several diseases, and can aid in designing new drugs. The majority of existing PPI research has relied mainly on sequence-based ap...
Saccharomyces cerevisiae Proteins Amino Acid Sequence Neural Networks, Computer Multiomics Humans
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Is AI essential? Examining the need for deep learning in image-activated sorting of .

Lab on a chip Sep 26, 2023
Artificial intelligence (AI) has become a focal point across a multitude of societal sectors, with science not being an exception. Particularly in the life sciences, imaging flow cytometry has increasingly integrated AI for automated management and c...
Machine Learning Deep Learning Neural Networks, Computer Artificial Intelligence Saccharomyces cerevisiae
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