Andrew J. Gentles

Andrew J. Gentles | JRNLClub

Research Statement

AI generated · 1d ago

Andrew J. Gentles's indexed work centers on computational deconvolution of tumor immune composition, most prominently the prognostic landscape of genes and infiltrating immune cells across human cancers, a first-author study that remains his most-cited at over 3,000 citations. Earlier first-author work extended this computational thread to leukemic stem cell gene expression signatures associated with clinical outcomes in acute myeloid leukemia, while his senior-author role on amino acid runs in eukaryotic proteomes and their disease associations reflects an enduring interest in sequence-level genomics informing disease. Beyond the focus list, he contributed as a middle author to robust enumeration of cell subsets from tissue expression profiles with Aaron M. Newman, and to The Immune Landscape of Cancer consortium, both shaping widely used immune-profiling frameworks. His first-author lung tumor microenvironment interactome and senior-author community assessment of methods to deconvolve cellular composition continue this methodological line. No software tools, datasets, grants, or patents are indexed beyond these publications. Taken together, the works trace a consistent arc: from early genome-composition analysis toward computational methods that map immune and stromal cell populations onto cancer prognosis.

Most Cited Works

Robust enumeration of cell subsets from tissue expression profiles

Aaron M Newman, Chih Long Liu, Michael R Green, Andrew J Gentles, Weiguo Feng, Yue Xu, Chuong D Hoang, Maximilian Diehn, Ash A Alizadeh

Nature Methods2015

13,085Citations

Determining cell type abundance and expression from bulk tissues with digital cytometry

Aaron M Newman, Chloé B Steen, Chih Long Liu, Andrew J Gentles, Aadel A Chaudhuri, Florian Scherer, Michael S Khodadoust,

Research Areas

Lymphoma Diagnosis and TreatmentT-cell and B-cell ImmunologySingle-cell and spatial transcriptomicsCancer Immunotherapy and BiomarkersGene expression and cancer classificatio

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Andrew J. Gentles

Sources

Research Statement

Most Cited Works

Robust enumeration of cell subsets from tissue expression profiles

Determining cell type abundance and expression from bulk tissues with digital cytometry

Research Areas

The prognostic landscape of genes and infiltrating immune cells across human cancers

CRISPR screens in cancer spheroids identify 3D growth-specific vulnerabilities

High-resolution alignment of single-cell and spatial transcriptomes with CytoSPACE