Identifying gene|specific subgroups

Identifying gene-specific subgroups: an alternative to biclustering

Transcriptome analysis aims at gaining insight into cellular processes through discovering gene expression patterns across various ...

Identifying gene-specific subgroups: an alternative to biclustering

We propose here the K-CPGC method, a computationally efficient algorithm to identify K max-sum submatrices in a large gene expression matrix.

Identify conditionally essential genes in clinical subgroups of a ...

We have ranked and scored specific mutated genes based on distinct clinical subgroups-which are defined based on the mutational status of known cancer driver ...

Identifying gene-specific subgroups: an alternative to biclustering

Our main contribution is to show that this approach outperforms biclustering algorithms to identify several gene subsets representative of specific subgroups of ...

Analysis, identification and visualization of subgroups in genomics

(A) Top 10 genes with most frequent mutations sorted by sample coverage. (B) Example of optimization of the gene set selection with six genes (sorted by sample ...

3D genome mapping identifies subgroup-specific chromosome ...

This study extends our ability to reveal tumor-dependency genes by 3D genome conformations even in tumors that lack targetable genetic alterations.

Machine Learning-Driven Identification of Molecular Subgroups in ...

Results Initial analyses with the complete gene set lacked discriminative power. However, reduced feature sets significantly enhanced clustering ...

A promising subgroup identification method based on a genetic ...

We propose a novel method for subgroup identification based on a genetic algorithm. The proposed method can detect promising subgroups defined by predictive ...

Genetic subgroups inform on pathobiology in adult and pediatric ...

The largest subgroups of BL cases, IC-BL and DGG-BL, are further characterized by distinct biological and gene expression differences. IC-BL and ...

Identification of disulfidptosis-related genes and subgroups in ...

In this study, through bioinformatics analysis, the expression and function of disulfidptosis-related genes (DRGs) in Alzheimer's disease were explored.

Analysis, identification and visualization of subgroups in genomics

The multi-objective gene selection problem consists of finding optimal subsets of genes from a given datasets with respect to multiple objectives, such as ...

A gene expression-based method to diagnose clinically distinct ...

The ABC and GCB subgroups of DLBCL were originally identified by applying a hierarchical clustering algorithm to gene expression data from DLBCL biopsies ...

Identification of a minimum number of genes to predict triple ...

Identification of a minimum number of genes to predict triple-negative breast cancer subgroups from gene expression profiles. Laila Akhouayri ...

Identifying Subgroups of Patients With Autism by Gene Expression ...

The current study aims to use machine learning algorithms to analyze microarray data to identify clusters with relatively homogeneous clinical features.

Identifying and Assessing Interesting Subgroups in a ...

(a) Step I is clustering of genes. Genes (A) (shaded region) are grouped and will be used as a subtype identifier in the downstream analysis. (b) ...

Differential gene expression identifies subgroups of ovarian carcinoma

In this study, the authors sought to identify subsets of papillary serous ovarian cancer based on patterns of gene expression, and they searched for genes that ...

A method for identifying genetic heterogeneity within phenotypically ...

Our method tests whether there exists a subset of disease-associated SNPs that have different effect sizes in case subgroups, determining ...

Array Comparative Genomic Hybridization Identifies Genetic ...

We identified three major genetic subgroups within these glioblastoma multiforme tumors: tumors with chromosome 7 gain and chromosome 10 loss, tumors with only ...

Heritable genotype contrast mining reveals novel gene associations ...

Novel procedure to identify significant genetic differences between autism subgroups. ... Identifying such gene groupings will allow individuals to be ...

Identification of selectively dependent hits in subgroups of specific ...

Dear DepMaps, I hope my message finds you well !! I wanted to ask a more specific question regarding the appropriate utilization of the ...