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Functional and Mechanistic Neurotoxicity Profiling Using Human iPSC-Derived Neural 3D Cultures

Toxicological sciences, 2019-01, Vol.167 (1), p.58-76

2019

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A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity

Nature communications, 2022-04, Vol.13 (1), p.1925-1925, Article 1925

2022

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Human iPSC-Derived 2D and 3D Platforms for Rapidly Assessing Developmental, Functional, and Terminal Toxicities in Neural Cells

International journal of molecular sciences, 2021-02, Vol.22 (4), p.1908

2021

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79 Extensively validated HLA LOH algorithm demonstrates an association between HLA LOH and genomic instability

Journal for immunotherapy of cancer, 2021-11, Vol.9 (Suppl 2), p.A88-A88

2021

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Abstract 1898: Accurate modeling of antigen processing and MHC peptide presentation using large-scale immunopeptidomes and a novel machine learning framework

Cancer research (Chicago, Ill.), 2021-07, Vol.81 (13_Supplement), p.1898-1898

2021

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Precision Neoantigen Discovery Using Large-scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation

Molecular & cellular proteomics, 2021-01, Vol.20, p.100111, Article 100111

2021

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Profiling of seizurogenic liability compounds using high-throughput human iPSC–derived neuronal 3D cultures

Journal of pharmacological and toxicological methods, 2020-09, Vol.105, p.106861, Article 106861

2020

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Precision Neoantigen Discovery Using Large-Scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation

Molecular & cellular proteomics, 2023-04, Vol.22 (4), p.100506-100506, Article 100506

2023

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Abstract 399: Pan-cancer survey of HLA loss of heterozygosity using a robustly validated NGS-based machine learning algorithm

Cancer research (Chicago, Ill.), 2021-07, Vol.81 (13_Supplement), p.399-399

2021

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Association of HLA loss of heterozygosity with allele-specific neoantigen expansion in response to immunotherapy

Journal of clinical oncology, 2021-05, Vol.39 (15_suppl), p.e18030-e18030

2021

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Withdrawal of ‘Precision Neoantigen Discovery Using Large-scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation’

Molecular & cellular proteomics, 2023-04, Vol.22 (4), p.100511-100511, Article 100511

2023

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Abstract 5472: Utilizing response in immune checkpoint inhibitor treated cohorts improves clinical applicability of neoantigen immunogenicity predictions

Cancer research (Chicago, Ill.), 2023-04, Vol.83 (7_Supplement), p.5472-5472

2023

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Hight-throughput profiling of seizuregenic liability using human iPSC–derived neuronal 3D cultures

Journal of pharmacological and toxicological methods, 2019-09, Vol.99, p.106595, Article 106595

2019

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Using hiPSC-derived neuronal cultures to assess the safety of pre-screened potential therapeutic compounds against Zika Virus

Journal of pharmacological and toxicological methods, 2018-09, Vol.93, p.137-137

2018

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51 A combination of antigen presentation and T-cell recognition features improves neoantigen immunogenicity predictions

Journal for immunotherapy of cancer, 2022-11, Vol.10 (Suppl 2), p.A54-A54

2022

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High-throughput and high-content safety pharmacology assessments with 3-dimensional human induced pluripotent stem cell-derived cortical spheroid platforms

Journal of pharmacological and toxicological methods, 2019-09, Vol.99, p.106595, Article 106595

2019

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Abstract 5640: Mono-allelic immunopeptidomics data from 109 MHC-I alleles reveals variability in binding preferences and improves neoantigen prediction algorithm

Cancer research (Chicago, Ill.), 2022-06, Vol.82 (12_Supplement), p.5640-5640

2022

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Withdrawn: Precision Neoantigen Discovery Using Large-scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation

Molecular & cellular proteomics, 2021, Vol.20, p.100111-100111

2021

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The frontal aslant tract (FAT) and its role in speech, language and executive function

Cortex, 2019-02, Vol.111, p.148-163

2019

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An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder

Nature genetics, 2018-04, Vol.50 (5), p.727-736

2018

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In vivo restricted diffusion imaging (RDI) is sensitive to differences in axonal density in typical children and adults

Brain Structure and Function, 2021-11, Vol.226 (8), p.2689-2705

2021

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The contribution of de novo coding mutations to autism spectrum disorder

Nature (London), 2014-11, Vol.515 (7526), p.216-221

2014

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Individual differences in white matter of the uncinate fasciculus and inferior fronto‐occipital fasciculus: possible early biomarkers for callous‐unemotional behaviors in young children with disruptive behavior problems

Journal of child psychology and psychiatry, 2022-01, Vol.63 (1), p.19-33

2022

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Laterality of the frontal aslant tract (FAT) explains externalizing behaviors through its association with executive function

Developmental science, 2019-03, Vol.22 (2), p.e12744-n/a

2019

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Photoflash and laser ignition of select high-nitrogen materials

Combustion and flame, 2016-05, Vol.167 (C), p.207-217

2016

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Functional and Mechanistic Neurotoxicity Profiling Using Human iPSC-Derived Neural 3D Cultures

A machine learning algorithm with subclonal sensitivity reveals widespread pan-cancer human leukocyte antigen loss of heterozygosity

Human iPSC-Derived 2D and 3D Platforms for Rapidly Assessing Developmental, Functional, and Terminal Toxicities in Neural Cells

79 Extensively validated HLA LOH algorithm demonstrates an association between HLA LOH and genomic instability

Abstract 1898: Accurate modeling of antigen processing and MHC peptide presentation using large-scale immunopeptidomes and a novel machine learning framework

Precision Neoantigen Discovery Using Large-scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation

Profiling of seizurogenic liability compounds using high-throughput human iPSC–derived neuronal 3D cultures

Precision Neoantigen Discovery Using Large-Scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation

Abstract 399: Pan-cancer survey of HLA loss of heterozygosity using a robustly validated NGS-based machine learning algorithm

Association of HLA loss of heterozygosity with allele-specific neoantigen expansion in response to immunotherapy

Withdrawal of ‘Precision Neoantigen Discovery Using Large-scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation’

Abstract 5472: Utilizing response in immune checkpoint inhibitor treated cohorts improves clinical applicability of neoantigen immunogenicity predictions

Hight-throughput profiling of seizuregenic liability using human iPSC–derived neuronal 3D cultures

Using hiPSC-derived neuronal cultures to assess the safety of pre-screened potential therapeutic compounds against Zika Virus

51 A combination of antigen presentation and T-cell recognition features improves neoantigen immunogenicity predictions

High-throughput and high-content safety pharmacology assessments with 3-dimensional human induced pluripotent stem cell-derived cortical spheroid platforms

Abstract 5640: Mono-allelic immunopeptidomics data from 109 MHC-I alleles reveals variability in binding preferences and improves neoantigen prediction algorithm

Withdrawn: Precision Neoantigen Discovery Using Large-scale Immunopeptidomes and Composite Modeling of MHC Peptide Presentation

The frontal aslant tract (FAT) and its role in speech, language and executive function

An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder

In vivo restricted diffusion imaging (RDI) is sensitive to differences in axonal density in typical children and adults

The contribution of de novo coding mutations to autism spectrum disorder

Individual differences in white matter of the uncinate fasciculus and inferior fronto‐occipital fasciculus: possible early biomarkers for callous‐unemotional behaviors in young children with disruptive behavior problems

Laterality of the frontal aslant tract (FAT) explains externalizing behaviors through its association with executive function

Photoflash and laser ignition of select high-nitrogen materials

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