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Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

Nature communications, 2021-03, Vol.12 (1), p.1613-1613, Article 1613

2021

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Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis

Cell systems, 2017-03, Vol.4 (3), p.291-305.e7

2017

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Evolutionary principles of modular gene regulation in yeasts

eLife, 2013-06, Vol.2, p.e00603

2013

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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

Molecular systems biology, 2012, Vol.8 (1)

2012

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Abundance-based Classifier for the Prediction of Mass Spectrometric Peptide Detectability Upon Enrichment (PPA)[S]

Molecular & cellular proteomics, 2015-02, Vol.14 (2), p.430-440

2015

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Gene duplication and the evolution of ribosomal protein gene regulation in yeast

Proceedings of the National Academy of Sciences - PNAS, 2010-03, Vol.107 (12), p.5505-5510

2010

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P1246: CELL TYPE IDENTIFICATION USING MULTIPLEX IMMUNOFLUORESCENCE (MIF) GUIDED MACHINE LEARNING IN DLBCL

HemaSphere, 2023-08, Vol.7 (S3), p.e7646597-n/a

2023

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821 Machine learning models can quantify CD8 positivity in lymphocytes in melanoma clinical trial samples

Journal for immunotherapy of cancer, 2021-11, Vol.9 (Suppl 2), p.A859-A859

2021

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Natural history and evolutionary principles of gene duplication in fungi

Nature (London), 2007-09, Vol.449 (7158), p.54-61

2007

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Correction: Evolutionary principles of modular gene regulation in yeasts

eLife, 2013-07, Vol.2, p.e01114-e01114

2013

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Proto―genes and de novo gene birth

Nature (London), 2012-07, Vol.487 (7407), p.370-374

2012

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Revisiting the Saccharomyces cerevisiae predicted ORFeome

Genome Research, 2008-08, Vol.18 (8), p.1294-1303

2008

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Automatic genome-wide reconstruction of phylogenetic gene trees

Bioinformatics, 2007-07, Vol.23 (13), p.i549-i558

2007

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QUANTITATIVE AND EXPLAINABLE ARTIFICIAL INTELLIGENCE (AI)-POWERED APPROACHES TO PREDICT ULCERATIVE COLITIS DISEASE ACTIVITY FROM HEMATOXYLIN AND EOSIN (H&E)-STAINED WHOLE SLIDE IMAGES (WSI)

Gastroenterology (New York, N.Y. 1943), 2023-04, Vol.164 (4), p.S28-S29

2023

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Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

Modern pathology, 2022-11, Vol.35 (11), p.1529-1539

2022

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QUANTITATIVE AND EXPLAINABLE ARTIFICIAL INTELLIGENCE (AI)-POWERED APPROACHES TO PREDICT ULCERATIVE COLITIS DISEASE ACTIVITY FROM HEMATOXYLIN AND EOSIN (H&E)-STAINED WHOLE SLIDE IMAGES (WSI)

Inflammatory bowel diseases, 2023-01, Vol.29 (Supplement_1), p.S22-S23

2023

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Mo1754 MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS

Gastroenterology (New York, N.Y. 1943), 2023-05, Vol.164 (6), p.S-894-S-894

2023

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A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

Molecular systems biology, 2012, Vol.8 (1), p.619-n/a

2012

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MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS

Gastroenterology (New York, N.Y. 1943), 2023-04, Vol.164 (4), p.S25-S26

2023

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Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium

Nature (London), 2010-03, Vol.464 (7287), p.367-373

2010

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Abstract PD6-04: Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study

Cancer research (Chicago, Ill.), 2021-02, Vol.81 (4_Supplement), p.PD6-04-PD6-04

2021

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Machine learning-enabled continuous scoring of histologic features facilitates prediction of clinical disease progression in patients with non-alcoholic steatohepatitis

Journal of hepatology, 2022-07, Vol.77, p.S700-S701

2022

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Human-interpretable image features derived from densely mapped cancer pathology slides predict diverse molecular phenotypes

A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH

Combination Therapies Including Cilofexor and Firsocostat for Bridging Fibrosis and Cirrhosis Attributable to NASH

Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis

Evolutionary principles of modular gene regulation in yeasts

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

Abundance-based Classifier for the Prediction of Mass Spectrometric Peptide Detectability Upon Enrichment (PPA)[S]

Gene duplication and the evolution of ribosomal protein gene regulation in yeast

Comparative analysis of Mycobacterium and related Actinomycetes yields insight into the evolution of Mycobacterium tuberculosis pathogenesis

P1246: CELL TYPE IDENTIFICATION USING MULTIPLEX IMMUNOFLUORESCENCE (MIF) GUIDED MACHINE LEARNING IN DLBCL

821 Machine learning models can quantify CD8 positivity in lymphocytes in melanoma clinical trial samples

Natural history and evolutionary principles of gene duplication in fungi

Correction: Evolutionary principles of modular gene regulation in yeasts

Proto―genes and de novo gene birth

Revisiting the Saccharomyces cerevisiae predicted ORFeome

Automatic genome-wide reconstruction of phylogenetic gene trees

QUANTITATIVE AND EXPLAINABLE ARTIFICIAL INTELLIGENCE (AI)-POWERED APPROACHES TO PREDICT ULCERATIVE COLITIS DISEASE ACTIVITY FROM HEMATOXYLIN AND EOSIN (H&E)-STAINED WHOLE SLIDE IMAGES (WSI)

Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

QUANTITATIVE AND EXPLAINABLE ARTIFICIAL INTELLIGENCE (AI)-POWERED APPROACHES TO PREDICT ULCERATIVE COLITIS DISEASE ACTIVITY FROM HEMATOXYLIN AND EOSIN (H&E)-STAINED WHOLE SLIDE IMAGES (WSI)

Mo1754 MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS

A functional selection model explains evolutionary robustness despite plasticity in regulatory networks

MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS

Comparative genomics reveals mobile pathogenicity chromosomes in Fusarium

Abstract PD6-04: Deep-learning based prediction of homologous recombination deficiency (hrd) status from histological features in breast cancer; a research study

Machine learning-enabled continuous scoring of histologic features facilitates prediction of clinical disease progression in patients with non-alcoholic steatohepatitis

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