[HTML][HTML] Decoding neuromuscular disorders using phenotypic clusters obtained from co-occurrence networks

E Díaz-Santiago, MG Claros, R Yahyaoui… - Frontiers in Molecular …, 2021 - frontiersin.org
… co-occurrent NMD phenotypes were obtained. In parallel, a tripartite network based on
phenotypes, diseases and genes was used to associate NMD phenotypes with functions, an …

HetFCM: functional co-module discovery by heterogeneous network co-clustering

H Tan, M Guo, J Chen, J Wang, G Yu - Nucleic Acids Research, 2024 - academic.oup.com
… In addition, we find a gene module that associates with the maize phenotype of interest,
lipid storage, in co-module 16. The oleosins represent the lipid storage proteins that are part of …

[HTML][HTML] A tissue-level phenome-wide network map of colocalized genes and phenotypes in the UK Biobank

G Rocheleau, IS Forrest, Á Duffy, S Bafna… - Communications …, 2022 - nature.com
phenome-wide map is the exploration and discovery of co-clusters of related genes and
phenotypes… for the Fuse preprocessing step before running the co-clustering step per se. In rare …

Mining Functional Modules by Multiview-NMF of Phenome-Genome Association

YG Zhang, YJ Xu, X Fan, YX Hong, JH Liu… - arXiv preprint arXiv …, 2017 - arxiv.org
Co-clustering phenome-genome for phenotype classification and disease gene discovery. …
of multiple types of genomic data to identify microrna-gene regulatory modules. Bioinformatics …

Decipher the connections between proteins and phenotypes

X Ren, S Wang, T Huang - Biochimica et Biophysica Acta (BBA)-Proteins …, 2020 - Elsevier
… analysis methods to discover phenotype/disease clusters. … phenotypes and genes from the
OMIM and KEGG disease … to identify human and mouse phenome-genome associations [14]. …

Linking Phenotypes and Genotypes with Matrix Factorizations

J Li, Y Guan, X Xu, Z Ma, Y Pei - Current Pharmaceutical …, 2023 - ingentaconnect.com
… [11] proposed a co-clustering-based framework on observed phenotypegenotype … Co-clustering
phenomegenome for phenotype classification and disease gene discovery. Nucleic …

Novel clustering and classification algorithms for big data

D Ghosh - 2020 - rucore.libraries.rutgers.edu
… It also result in incidental endogeneity, a phenomenon in which many … supervised co-clustering
of phenotypes and genes si… Their approach enabled discovery of disease classes based …

Identification of disease-associated loci using machine learning for genotype and network data integration

LG Leal, A David, MR Jarvelin, S Sebert… - …, 2019 - academic.oup.com
… , phenotypes, the damaging effect of the variants and gene networks in order to identify
loci-trait associations. cNMTF was used to prioritize genes … enhance gene discovery for GWAS. …

[HTML][HTML] Unveiling network-based functional features through integration of gene expression into protein networks

M Jalili, T Gebhardt, O Wolkenhauer… - … Basis of Disease, 2018 - Elsevier
genes according their relevance with respect to a phenotype … while PeC emphasizes
co-clustering relationship between a … Studying this phenomenon is laborious and time-consuming. …

Gracob: a novel graph-based constant-column biclustering method for mining growth phenotype data

M Alzahrani, H Kuwahara, W Wang, X Gao - Bioinformatics, 2017 - academic.oup.com
phenomenon is mutational robustness, which argues that these genes are dispensable
because the genetic … is developed to discover co-fit genes from large growth phenotype profiling …