Shila Ghazanfar

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University of Sydney

Australia

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Recent Grants

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Statistical approaches for spatial genomics at single cell resolution

Open Date: 2022-05-01

Close Date: 2025-04-01

Grant: Close

Leveraging spatially resolved single cell gene expression and single cell RNA-sequencing to understand cellular heterogeneity

Open Date: 2019-04-01

Close Date: 2021-03-01

Grant: Close

Statistical approaches to harness high throughput sequencing data in diverse biological systems

Open Date: 2013-03-01

Close Date: 2017-03-01

Grant: Close

Statistical approaches to harness high throughput sequencing data in diverse biological systems.

Open Date: 2013-03-01

Close Date: 2016-03-01

Grant: Close

Multivariate gene set enrichment analysis for multi-layered omics data

Open Date: 2012-03-01

Close Date: 2012-11-01

Articles (17)

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Collaborators (13)

Davide Risso

University of Padova

ITALY

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Stephanie Hicks

Associate Professor

Johns Hopkins University Bloomberg School of Public Health

UNITED STATES

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Chahaya Gauci

Conjoint Associate Lecturer

University of New South Wales

AUSTRALIA

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Mark Molloy

Professor

University of Sydney

AUSTRALIA

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Richard Harvey

Deputy Director Victor Chang Institute, Head of Cardiac Developmental and Stem Cell Biology Division; Professor of Heart Research, University of New South Wales, Australia

Victor Chang Cardiac Research Institute

AUSTRALIA

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Ellis Patrick

Associate Professor

University of Sydney

AUSTRALIA

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Lukas M. Weber

Assistant Professor

Boston University

UNITED STATES

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Graham Neely

University of Sydney

AUSTRALIA

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Jean Yang

Professor

University of Sydney

AUSTRALIA

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Wodan Ling

Assistant Professor

Weill Cornell Medicine

UNITED STATES

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Alexander Engel

Professor

University of Sydney

AUSTRALIA

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David Humphreys

Victor Chang Cardiac Research Institute

AUSTRALIA

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Boyi Guo

Assistant Professor

University of Utah Health

UNITED STATES

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Shila Ghazanfar

Research Interests

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Recent Grants

Articles (17)

Mutational Analysis of Early, Low-Grade Bowel Polyps Defines a Subgroup with Concurrent, High-Risk Oncogenic Drivers Independent of Polyp Size

Spatial mutual nearest neighbors for spatial transcriptomics data

Integrating Spatially‐Resolved Transcriptomics Data Across Tissues and Individuals: Challenges and Opportunities

Benchmarking the translational potential of spatial gene expression prediction from histology

BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data

Integration mapping of cardiac fibroblast single-cell transcriptomes elucidates cellular principles of fibrosis in diverse pathologies

HuBMAPR: an R client for the HuBMAP data portal

Single-cell expression profiling has its roots in in situ techniques

Novel Mouse Model for Selective Tagging, Purification, and Manipulation of Cardiac Myofibroblasts

Thinking process templates for constructing data stories with SCDNEY

MoleculeExperiment enables consistent infrastructure for molecule-resolved spatial omics data in bioconductor

Stabilized mosaic single-cell data integration using unshared features

SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor

Systematic functional identification of cancer multi-drug resistance genes.

Diverse Routes towards Early Somites in the Mouse Embryo.

Investigating higher-order interactions in single-cell data with scHOT

Mutational and transcriptomic landscapes of a rare human prostate basal cell carcinoma

Collaborators (13)

Davide Risso

Stephanie Hicks

Chahaya Gauci

Mark Molloy

Richard Harvey

Ellis Patrick

Lukas M. Weber

Graham Neely

Jean Yang

Wodan Ling

Alexander Engel

David Humphreys

Boyi Guo

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