Yolanda T. Chong

发表

Unsupervised Clustering of Subcellular Protein Expression Patterns in High-Throughput Microscopy Images Reveals Protein Complexes and Functional Relationships between Proteins

Brenda J. Andrews, Louis-François Handfield, Yolanda T. Chong, 2013, PLoS Comput. Biol..

Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images

Louis-François Handfield, Yolanda T. Chong, Alan M. Moses, 2015, Bioinform..

Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

Anne E Carpenter, Anne E. Carpenter, Nathan H. Lazar, 2020, bioRxiv.

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis

Yolanda T. Chong, Alan M. Moses, J. Moffat, 2015, Cell.

Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery.

Anne E Carpenter, Yolanda T. Chong, S. Hochreiter, 2018, Cell chemical biology.

Automated analysis of high‐content microscopy data with deep learning

Yolanda T. Chong, Oren Z. Kraus, Jimmy Ba, 2017, Molecular systems biology.

CYCLoPs: A Comprehensive Database Constructed from Automated Analysis of Protein Abundance and Subcellular Localization Patterns in Saccharomyces cerevisiae

Yolanda T. Chong, Alan M. Moses, J. Moffat, 2015, G3: Genes, Genomes, Genetics.

A picture is worth a thousand words: Genomics to phenomics in the yeast Saccharomyces cerevisiae

Yolanda T. Chong, B. Andrews, Charles Boone, 2009, FEBS letters.

Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines

Hinrich W. H. Göhlmann, Jean-Marc Neefs, Yolanda T. Chong, 2020, Scientific Reports.

Repurposed high-throughput images enable biological activity prediction for drug discovery

Anne E Carpenter, Yves Moreau, Anne E. Carpenter, 2017, bioRxiv.

Identification of potential treatments for COVID-19 through artificial intelligence-enabled phenomic analysis of human cells infected with SARS-CoV-2

Yolanda T. Chong, Imran S. Haque, Berton A. Earnshaw, 2020, bioRxiv.

Characterization of the Arabidopsis thaliana exocyst complex gene families by phylogenetic, expression profiling, and subcellular localization studies.

Yolanda T. Chong, J. Parkinson, R. Mullen, 2010, The New phytologist.

Cellular Pathways Regulating Responses to Compatible and Self-Incompatible Pollen in Brassica and Arabidopsis Stigmas Intersect at Exo70A1, a Putative Component of the Exocyst Complex[W]

Yolanda T. Chong, D. Goring, M. Samuel, 2009, The Plant Cell Online.

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis

Yolanda T. Chong, Alan M. Moses, J. Moffat, 2015, Cell.

Tales of 1,008 small molecules: phenomic profiling through live-cell imaging in a panel of reporter cell lines

Yolanda T. Chong, J. Neefs, Michael J. Cox, 2020, Scientific Reports.

A quantitative literature-curated gold standard for kinase-substrate pairs

Yolanda T. Chong, Alan M. Moses, A. C. Douglas, 2012, Genome Biology.

Abstract 801: Sensitivity of cell lines to Fatty Acid Synthase inhibitors depends on the lipid content in the cellular environment

Yolanda T. Chong, Tianbao Lu, G. Bignan, 2014 .

Protocols and characterization data for 2 D , 3 D , and slice-based tumor models from the PREDECT project de Hoogt

Yolanda T. Chong, W. Sommergruber, J. Hickman, 2022 .

Discovery of JNJ-63576253, a Next-Generation Androgen Receptor Antagonist Active Against Wild-Type and Clinically Relevant Ligand Binding Domain Mutations in Metastatic Castration-Resistant Prostate Cancer

Yolanda T. Chong, T. Bush, G. Bignan, 2021, Molecular Cancer Therapeutics.

Title: Discovery of JNJ-63576253, a next-generation androgen receptor antagonist active against wild- type and clinically-relevant ligand binding domain mutations in metastatic castration-resistant prostate cancer (mCRPC) Running Title: Discovery of JNJ-63576253, a next-generation AR antagonist

Yolanda T. Chong, T. Bush, G. Bignan, 2021 .

A quantitative literature-curated gold standard for kinase-substrate pairs

Yolanda T. Chong, Alan M. Moses, Sara Sharifpoor, 2011, Genome Biology.

Discovery of JNJ-63576253: A Clinical Stage Androgen Receptor Antagonist for F877L Mutant and Wild-Type Castration-Resistant Prostate Cancer (mCRPC).

Yolanda T. Chong, T. Bush, G. Bignan, 2021, Journal of medicinal chemistry.

Exploring the Yeast Acetylome Using Functional Genomics

Yolanda T. Chong, D. Figeys, B. Andrews, 2012, Cell.

A Novel Mechanism for SUMO System Control: Regulated Ulp1 Nucleolar Sequestration

Yolanda T. Chong, Franco J. Vizeacoumar, A. Gingras, 2010, Molecular and Cellular Biology.

Capturing tumor complexity in vitro: Comparative analysis of 2D and 3D tumor models for drug discovery

Sami Blom, Varda Rotter, Michaël Barbier, 2016, Scientific Reports.

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis

Yolanda T. Chong, Alan M. Moses, J. Moffat, 2015, Cell.

Proteome-wide screens in Saccharomyces cerevisiae using the yeast GFP collection.

Yolanda T. Chong, Yolanda T Chong, B. Andrews, 2012, Advances in experimental medicine and biology.

The Budding Yeast Nuclear Envelope Adjacent to the Nucleolus Serves as a Membrane Sink during Mitotic Delay

Yolanda T. Chong, B. Andrews, J. Koh, 2012, Current Biology.

Integrating images from multiple microscopy screens reveals diverse patterns of change in the subcellular localization of proteins

Yolanda T. Chong, Alan M. Moses, Bob Strome, 2018, eLife.

Ellipsoid Segmentation Model for Analyzing Light-Attenuated 3D Confocal Image Stacks of Fluorescent Multi-Cellular Spheroids

Michaël Barbier, Steffen Jaensch, Yolanda T. Chong, 2016, PloS one.

PREDECT Protocols for Complex 2D/3D Cultures.

Yolanda T. Chong, W. Sommergruber, R. de Hoogt, 2018, Methods in molecular biology.

Protocols and characterization data for 2 D , 3 D , and slice-based tumor models from the PREDECT project de Hoogt

Sami Blom, Yolanda T. Chong, Catarina Brito, 2022 .

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis

Yolanda T. Chong, Alan M. Moses, J. Moffat, 2015, Cell.

Protocols and characterization data for 2D, 3D, and slice-based tumor models from the PREDECT project

Yolanda T. Chong, W. Sommergruber, J. Hickman, 2017, Scientific Data.