# Isoform-level gene signature improves prognostic stratification and accurately classifies glioblastoma subtypes

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/isoform-level-gene-signature-improves-prognostic-stratification-and-accurately/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sharmistha Pal,Yingtao Bi,Luke Macyszyn,Louise C. Showe,Donald M. O’Rourke,Ramana V. Davuluri |
| Citations | 70 |
| DOI | 10.1093/nar/gku121 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1093/nar/gku121 |
| OpenAlex ID | https://openalex.org/W2132886470 |
| PMID | 24503249 |
| Type | article |
| Year | 2014 |

## Paper authors

- [Luke Macyszyn](https://scholariq.org/researchers/luke-macyszyn/)

## Paper primary topic

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)

## Paper topics

- [Glioma Diagnosis and Treatment](https://scholariq.org/topics/glioma-diagnosis-and-treatment/)
- [Bioinformatics and Genomic Networks](https://scholariq.org/topics/bioinformatics-and-genomic-networks/)
- [Gene expression and cancer classification](https://scholariq.org/topics/gene-expression-and-cancer-classification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.