User profiles for A.J. Gentles
Andrew GentlesStanford University Verified email at stanford.edu Cited by 32132 |
Multimodal data fusion for cancer biomarker discovery with deep learning
…, T Hernandez-Boussard, AJ Gentles… - Nature machine …, 2023 - nature.com
Technological advances have made it possible to study a patient from multiple angles with
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive amounts …
high-dimensional, high-throughput multiscale biomedical data. In oncology, massive amounts …
Robust enumeration of cell subsets from tissue expression profiles
We introduce CIBERSORT, a method for characterizing cell composition of complex tissues
from their gene expression profiles. When applied to enumeration of hematopoietic subsets …
from their gene expression profiles. When applied to enumeration of hematopoietic subsets …
[PDF][PDF] Machine learning identifies stemness features associated with oncogenic dedifferentiation
Cancer progression involves the gradual loss of a differentiated phenotype and acquisition
of progenitor and stem-cell-like features. Here, we provide novel stemness indices for …
of progenitor and stem-cell-like features. Here, we provide novel stemness indices for …
[PDF][PDF] The immune landscape of cancer
…, AC Culhane, EO Paull, IKA Sivakumar, AJ Gentles… - Immunity, 2018 - cell.com
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising
33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we …
33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we …
The prognostic landscape of genes and infiltrating immune cells across human cancers
Molecular profiles of tumors and tumor-associated cells hold great promise as biomarkers of
clinical outcomes. However, existing data sets are fragmented and difficult to analyze …
clinical outcomes. However, existing data sets are fragmented and difficult to analyze …
Determining cell type abundance and expression from bulk tissues with digital cytometry
Single-cell RNA-sequencing has emerged as a powerful technique for characterizing cellular
heterogeneity, but it is currently impractical on large sample cohorts and cannot be applied …
heterogeneity, but it is currently impractical on large sample cohorts and cannot be applied …
The CD47-signal regulatory protein alpha (SIRPa) interaction is a therapeutic target for human solid tumors
…, JP Volkmer, AJ Gentles… - Proceedings of the …, 2012 - National Acad Sciences
CD47, a “don't eat me” signal for phagocytic cells, is expressed on the surface of all human
solid tumor cells. Analysis of patient tumor and matched adjacent normal (nontumor) tissue …
solid tumor cells. Analysis of patient tumor and matched adjacent normal (nontumor) tissue …
[HTML][HTML] Annotation, submission and screening of repetitive elements in Repbase: RepbaseSubmitter and Censor
O Kohany, AJ Gentles, L Hankus, J Jurka - BMC bioinformatics, 2006 - Springer
Background Repbase is a reference database of eukaryotic repetitive DNA, which includes
prototypic sequences of repeats and basic information described in annotations. Updating …
prototypic sequences of repeats and basic information described in annotations. Updating …
Transient rest restores functionality in exhausted CAR-T cells through epigenetic remodeling
INTRODUCTION More than 50% of patients treated with chimeric antigen receptor (CAR)–T
cells for B cell malignancies develop progressive disease after CAR therapy, and these …
cells for B cell malignancies develop progressive disease after CAR therapy, and these …
Calreticulin is the dominant pro-phagocytic signal on multiple human cancers and is counterbalanced by CD47
…, AA Alizadeh, AJ Gentles… - Science translational …, 2010 - science.org
Under normal physiological conditions, cellular homeostasis is partly regulated by a balance
of pro- and anti-phagocytic signals. CD47, which prevents cancer cell phagocytosis by the …
of pro- and anti-phagocytic signals. CD47, which prevents cancer cell phagocytosis by the …