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

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemia

26 May 2022

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

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

Share to Acute Myeloid Leukemia Research
Share to Cancer Genomics and Diagnostics
Share to Single-cell and spatial transcriptomics

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 35618837
DOI: 10.1038/s41591-022-01819-x

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in acute myeloid leukemiaPMID 35618837Read ↗

A cellular hierarchy framework for understanding heterogeneity and predicting drug response in AMLSemantic proximity Read ↗

Integrative analysis of drug response and clinical outcome in acute myeloid leukemiaSemantic proximity Read ↗

Human acute myeloid leukemia is organized as a hierarchy that originates from a primitive hematopoietic cellSemantic proximity Read ↗

Decoding leukemia at the single-cell level: clonal architecture, classification, microenvironment, and drug resistanceSemantic proximity Read ↗

Network-based clustering unveils interconnected landscapes of genomic and clinical features across myeloid malignanciesSemantic proximity Read ↗

Learning the Therapeutic Targets of Acute Myeloid Leukemia through Multiscale Human Interactome Network and Community AnalysisSemantic proximity Read ↗

Immune-based subgroups uncover diverse tumor immunogenicity and implications for prognosis and precision therapy in acute myeloid leukemia.Semantic proximity Read ↗

Group comparison based on genetic information reveals lineage-specific therapeutic vulnerabilities in acute myeloid leukemiaSemantic proximity Read ↗

Network-based analysis with primary cells reveals drug response landscape of acute myeloid leukemia.Semantic proximity Read ↗

Multi-omics advances for molecular characterization, precision medicine, and prognostic implications in leukemiaSemantic proximity Read ↗

Single-cell data revealed the function of natural killer cells and macrophage cells in chemotherapy tolerance in acute myeloid leukemiaSemantic proximity Read ↗

Molecular precision medicine: Multi-omics-based stratification model for acute myeloid leukemiaSemantic proximity Read ↗

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