ArticleBlood advances2023
TALLSorts: a T-cell acute lymphoblastic leukemia subtype classifier using RNA-seq expression data.
Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups.HemaSphere · 2026Article
- clinTALL: machine learning-driven multimodal subtype classification and treatment outcome prediction in pediatric T-ALL.Genome medicine · 2026Article
- Molecular Characterization of T-Lineage Acute Lymphoblastic Leukemia by an Optimal-Transport Based Multi-Omics Integration Framework.bioRxiv : the preprint server for biology · 2026Article
- Benchmarking the paediatric T-cell ALL subtype classifier, TALLSorts.British journal of haematology · 2026Article
- Benchmarking standard-of-care and emerging genomic approaches to enhance diagnosis in pediatric acute lymphoblastic leukemia.British journal of cancer · 2025Article
- Article
- Error Reduction in Leukemia Machine Learning Classification With Conformal Prediction.JCO clinical cancer informatics · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.