Article

SF3B1ness score: screening <i>SF3B1</i> mutation status from over 60,000 transcriptomes based on a machine learning approach

2019-03-09

Abstract excerpt

In precision oncology, genomic evidence is used to determine the optimal treatment for each patient. However, identification of somatic mutations from genome sequencing data is often technically difficult and functional significance of somatic mutations is inconclusive in many cases. In this paper, to seek for an alternative approach, we tackle the problem of predicting functional mutations from transcriptome sequ...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: abb7f2ce-65fa-58a4-a1dd-b87f603b6fea
DOI: 10.1101/572834

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

SF3B1ness score: screening <i>SF3B1</i> mutation status from over 60,000 transcriptomes based on a machine learning approachDOI 10.1101/572834Read

SpliceUp: Predicting <i>SF3B1</i> mutations in individual cells via aberrant splice site activation from scRNA-seq dataSemantic proximity Read

Azurify integrates cancer genomics with machine learning to classify the clinical significance of somatic variantsSemantic proximity Read

Long-read transcriptome sequencing of CLL and MDS patients uncovers molecular effects of <i>SF3B1</i> mutationsSemantic proximity Read

Studying the connection between SF3B1 and four types of cancer by analyzing networks constructed based on published research.Semantic proximity Read

SF3B1 mutations constitute a novel therapeutic target in breast cancer.Semantic proximity Read

Clinical Characteristics and Molecular Profiling of SF3B1-Mutated Myelodysplastic Syndrome (MDS) in a Real-World Practice.Semantic proximity Read

Long-read transcriptome sequencing of CLL and MDS patients uncovers molecular effects of SF3B1 mutations.Semantic proximity Read

Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosisSemantic proximity Read

Distinct and convergent effects of SF3B1 mutations in human breast cancer.Semantic proximity Read

Refinement of the Classification of <i>DDX41</i> Variants Through Analysis of Aggregated Clinical DatasetsSemantic proximity Read

Reboot: a straightforward approach to identify genes and splicing isoforms associated with cancer patient prognosisSemantic proximity Read

Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia.Semantic proximity Read