AIMC Topic: Saccharomyces cerevisiae

Clear Filters Showing 21 to 30 of 169 articles

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...
Image Processing, Computer-Assisted HeLa Cells Deep Learning Imaging, Three-Dimensional Organelles Volume Electron Microscopy Microscopy, Electron Saccharomyces cerevisiae Humans Neural Networks, Computer Algorithms
View on PubMed DOI

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...
Saccharomyces cerevisiae Deep Learning Humans Sensitivity and Specificity Microscopy
View on PubMed DOI

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...
Deep Learning Gene Expression Saccharomyces cerevisiae Computational Biology Transcription Factors
View on PubMed DOI

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...
Tomography, X-Ray Lipid Droplets Vacuoles Autophagy Microscopy, Fluorescence Saccharomyces cerevisiae Saccharomyces cerevisiae Proteins Deep Learning
View on PubMed DOI

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 Artificial Intelligence Transcriptome Animals Mice
View on PubMed DOI

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 Humans Neural Networks, Computer Multiomics
View on PubMed DOI

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...
Saccharomyces cerevisiae Machine Learning Deep Learning Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

TidyTron: Reducing lab waste using validated wash-and-reuse protocols for common plasticware in Opentrons OT-2 lab robots.

SLAS technology Sep 9, 2023
Every year biotechnology labs generate a combined total of ∼5.5 million tons of plastic waste. As the global bioeconomy expands, biofoundries will inevitably increase plastic consumption in-step with synthetic biology scaling. Decontamination and reu...
Saccharomyces cerevisiae Escherichia coli Robotics DNA Decontamination
View on PubMed DOI

Label-Free Intracellular Multi-Specificity in Yeast Cells by Phase-Contrast Tomographic Flow Cytometry.

Small methods Sep 5, 2023
In-flow phase-contrast tomography provides a 3D refractive index of label-free cells in cytometry systems. Its major limitation, as with any quantitative phase imaging approach, is the lack of specificity compared to fluorescence microscopy, thus res...
Artificial Intelligence Saccharomyces cerevisiae Cytoplasm Flow Cytometry Microscopy, Fluorescence
View on PubMed DOI

A novel hybrid CNN and BiGRU-Attention based deep learning model for protein function prediction.

Statistical applications in genetics and molecular biology Sep 4, 2023
Proteins are the building blocks of all living things. Protein function must be ascertained if the molecular mechanism of life is to be understood. While CNN is good at capturing short-term relationships, GRU and LSTM can capture long-term dependenci...
Saccharomyces cerevisiae Virion Deep Learning Humans Amino Acid Sequence Language
View on PubMed DOI
Popular Topics
Recent Journals