Article

TASC: A transcriptome-driven machine learning classifier to explore molecular heterogeneity and relapse-associated programs in T-cell Acute Lymphoblastic Leukemia

2025-12-25

Abstract excerpt

T-cell acute lymphoblastic leukemia is a biologically heterogeneous malignancy characterized by diverse transcriptional and genomic alterations. Recent studies have defined a set of recurrent molecular subtypes associated with distinct differentiation stages and clinical outcomes. However, no unified framework currently exists for assigning these subtypes in a standardized and accessible manner. Existing approache...

Topics

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

Identifiers and source

Literature Corpus work: bad57b56-1ca9-5c18-9735-44931cd53c29
DOI: 10.64898/2025.12.23.696007

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

TASC: A transcriptome-driven machine learning classifier to explore molecular heterogeneity and relapse-associated programs in T-cell Acute Lymphoblastic LeukemiaDOI 10.64898/2025.12.23.696007Read

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

clinTALL: machine learning-driven multimodal subtype classification and treatment outcome prediction in pediatric T-ALLSemantic proximity Read

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

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

Decoding the genetic symphony: Profiling protein-coding and long noncoding RNA expression in T-acute lymphoblastic leukemia for clinical insightsSemantic proximity Read

Transcriptomics paving the way for improved diagnostics and precision medicine of acute leukemiaSemantic proximity Read

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

A comprehensive bulk and single-cell transcriptional atlas of pediatric leukemiasSemantic proximity Read

CanID: a robust and accurate RNAseq Expression-based diagnostic classification scheme for pediatric malignanciesSemantic proximity Read

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

Multi-resolution characterization of molecular taxonomies in bulk and single-cell transcriptomics dataSemantic proximity Read

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