Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Application of unimodal probability distribution models for morphological phenotyping of budding yeast.

FEMS yeast research - 9 Jan 2024

Ohya Yoshikazu, Ghanegolmohammadi Farzan, Itto-Nakama Kaori

Abstract excerpt

Morphological phenotyping of the budding yeast Saccharomyces cerevisiae has helped to greatly clarify the functions of genes and increase our understanding of cellular functional networks. It is necessary to understand cell morphology and perform quantitative morphological analysis (QMA) but assigning precise values to morphological phenotypes has been challenging. We recently developed the Unimodal Morphological...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Phenotype
Share to Saccharomyces cerevisiae
Share to Saccharomyces cerevisiae Proteins

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Saccharomycetales

Source

Open in PubMed Open full text

Identifiers

PMID: 38169030
DOI: 10.1093/femsyr/foad056
PMCID: PMC10804223

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Application of unimodal probability distribution models for morphological phenotyping of budding yeast.PMID 38169030Read ↗

Assignment of unimodal probability distribution models for quantitative morphological phenotyping.Semantic proximity Read ↗

Data mining tools for the Saccharomyces cerevisiae morphological database.Semantic proximity Read ↗

SCMD: Saccharomyces cerevisiae Morphological Database.Semantic proximity Read ↗

Distinct roles of cell wall biogenesis in yeast morphogenesis as revealed by multivariate analysis of high-dimensional morphometric data.Semantic proximity Read ↗

Single-cell phenomics in budding yeast.Semantic proximity Read ↗

High-dimensional and large-scale phenotyping of yeast mutants.Semantic proximity Read ↗

Applications in image-based profiling of perturbations.Semantic proximity Read ↗

Global study of holistic morphological effectors in the budding yeast Saccharomyces cerevisiae.Semantic proximity Read ↗

Machine learning approach for discrimination of genotypes based on bright-field cellular images.Semantic proximity Read ↗

PhenoM: a database of morphological phenotypes caused by mutation of essential genes in Saccharomyces cerevisiae.Semantic proximity Read ↗

Multi-Dimensional Machine Learning Approaches for Fruit Shape Recognition and Phenotyping in StrawberrySemantic proximity Read ↗

Machine learning and computer vision approaches for phenotypic profiling.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.