A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data.
Sayan MandalAldo Guzmán-SáenzNiina HaiminenSaugata BasuLaxmi ParidaPublished in: AlCoB (2020)
Keyphrases
- gene expression data
- gene expression
- data analysis
- microarray data
- microarray
- informative genes
- high dimensional data
- gene regulatory networks
- gene selection
- gene expression analysis
- high dimensionality
- biological knowledge
- data sets
- biological data
- biological processes
- gene expression data analysis
- microarray gene expression data
- gene expression profiles
- cluster analysis
- analysis of gene expression data
- gene expression profiling
- dna microarray
- genomic data
- gene expression data sets
- functional genomics
- data mining
- high dimensional
- gene clusters
- cancer diagnosis
- gene expression patterns
- gene expression datasets
- machine learning
- microarray datasets
- high throughput
- cancer classification
- regulatory networks
- biological networks
- life sciences
- binding sites
- microarray data analysis
- gene networks
- molecular biology
- dimensionality reduction
- nearest neighbor
- transcription factors
- feature selection