Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

MD-ALL: an integrative platform for molecular diagnosis of B-acute lymphoblastic leukemia.

Haematologica - 1 Jun 2024

Hu Zunsong, Jia Zhilian, Liu Jiangyue, Mao Allen, Han Helen, Gu Zhaohui

Abstract excerpt

B-acute lymphoblastic leukemia (B-ALL) consists of dozens of subtypes defined by distinct gene expression profiles (GEP) and various genetic lesions. With the application of transcriptome sequencing (RNA sequencing [RNA-seq]), multiple novel subtypes have been identified, which lead to an advanced B-ALL classification and risk-stratification system. However, the complexity of analyzing RNA-seq data for B-ALL...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biomarkers, Tumor
Share to Computational Biology
Share to DNA Copy Number Variations

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Profiling

Share to Molecular Diagnostic Techniques

Share to Precursor B-Cell Lymphoblastic Leukemia-Lymphoma

Share to Software

Share to Transcriptome

Source

Open in PubMed Open full text

Identifiers

PMID: 37981856
DOI: 10.3324/haematol.2023.283706
PMCID: PMC11141650

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

MD-ALL: an integrative platform for molecular diagnosis of B-acute lymphoblastic leukemia.PMID 37981856Read ↗

Multi-cohort transcriptomic subtyping of B-cell acute lymphoblastic leukemiaSemantic proximity Read ↗

ALLSorts: a RNA-Seq classifier for B-Cell Acute Lymphoblastic LeukemiaSemantic proximity Read ↗

Multi-Cohort Transcriptomic Subtyping of B-Cell Acute Lymphoblastic LeukemiaSemantic proximity Read ↗

Advances in the diagnosis and classification of B-ALL: comparative insights from updated guidelines.Semantic proximity Read ↗

Diagnosis of acute lymphoblastic leukaemia: an overview of the current genomic classification, diagnostic approaches, and future directionsSemantic proximity Read ↗

The gene expression classifier ALLCatchR identifies B-precursor ALL subtypes and underlying developmental trajectories across ageSemantic proximity Read ↗

The application of RNA sequencing for the diagnosis and genomic classification of pediatric acute lymphoblastic leukemiaSemantic proximity Read ↗

Integrative Analysis of Gene Expression Data by RNA Sequencing for Differential Diagnosis of Acute Leukemia: Potential Application of Machine LearningSemantic proximity Read ↗

T-cell acute lymphoblastic leukaemia: subtype prevalence, clinical outcome, and emerging targeted treatmentsSemantic proximity Read ↗

IntegrateALL: an end-to-end RNA-seq analysis pipeline for multilevel data extraction and interpretable subtype classification in B-precursor ALLSemantic proximity Read ↗

Oncogenic lesions and molecular subtypes in adults with B-cell acute lymphoblastic leukemia.Semantic proximity Read ↗

The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groupsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.