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Methodological individualism and agent-based computational simulation: A reply to Kincaid and Zahle

Social Science Information, 2024-06, Vol.63 (2), p.155-167

Di Iorio, Francesco

2024

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Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens

Nature (London), 2019-04, Vol.568 (7753), p.511-516

2019

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The Structure of Complexity and the Limits of Collective Intentionality

Philosophy of the Social Sciences, 2022-07, Vol.52 (4), p.207-234

Di Iorio, Francesco

2022

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Transcriptional data: a new gateway to drug repositioning?

Drug discovery today, 2013-04, Vol.18 (7-8), p.350-357

2013

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Integrated cross-study datasets of genetic dependencies in cancer

Nature communications, 2021-03, Vol.12 (1), p.1661-1661, Article 1661

2021

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Computational estimation of quality and clinical relevance of cancer cell lines

Molecular systems biology, 2022-07, Vol.18 (7), p.e11017-n/a

2022

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Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties

PloS one, 2013-04, Vol.8 (4), p.e61318

2013

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Discovery of drug mode of action and drug repositioning from transcriptional responses

Proceedings of the National Academy of Sciences - PNAS, 2010-08, Vol.107 (33), p.14621-14626

2010

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Reduced gene templates for supervised analysis of scale-limited CRISPR-Cas9 fitness screens

Cell reports (Cambridge), 2022-07, Vol.40 (4), p.111145-111145, Article 111145

2022

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A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia

Cell reports (Cambridge), 2016-10, Vol.17 (4), p.1193-1205

2016

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Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets

Nature communications, 2019-12, Vol.10 (1), p.5817-14, Article 5817

2019

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Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets

Nucleic acids research, 2021-01, Vol.49 (D1), p.D1365

2021

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Combinatorial CRISPR screen identifies fitness effects of gene paralogues

Nature communications, 2021-02, Vol.12 (1), p.1302-1302, Article 1302

2021

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Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening

Nature communications, 2019-05, Vol.10 (1), p.2198-12, Article 2198

2019

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A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches

Cell, 2009-04, Vol.137 (1), p.172-181

2009

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CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens

BMC genomics, 2021-11, Vol.22 (1), p.828-828, Article 828

2021

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The germline genetic component of drug sensitivity in cancer cell lines

Nature communications, 2018-08, Vol.9 (1), p.3385-8, Article 3385

2018

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BRAF inhibitor resistance mediated by the AKT pathway in an oncogenic BRAF mouse melanoma model

Proceedings of the National Academy of Sciences - PNAS, 2015-02, Vol.112 (6), p.E536-E545

2015

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A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data

Genome Biology, 2024-07, Vol.25 (1), p.1-25, Article 192

2024

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Minimal genome-wide human CRISPR-Cas9 library

Genome Biology, 2021-01, Vol.22 (1), p.40-40, Article 40

2021

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On situational analysis and the explanatory power of mechanisms: Analytical sociology and the deductive-nomological model

Social Science Information, 2022-03, Vol.61 (1), p.54-76

2022

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Convolutional Neural Networks for Steady Flow Approximation

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016, p.481-490

2016

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Functional Impact of Genomic Complexity on the Transcriptome of Multiple Myeloma

Clinical cancer research, 2021-12, Vol.27 (23), p.6479-6490

2021

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Drug mechanism‐of‐action discovery through the integration of pharmacological and CRISPR screens

Molecular systems biology, 2020-07, Vol.16 (7), p.e9405-n/a

2020

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Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects

Genome Biology, 2019-02, Vol.20 (1), p.27-10, Article 27

2019

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Methodological individualism and agent-based computational simulation: A reply to Kincaid and Zahle

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens

The Structure of Complexity and the Limits of Collective Intentionality

Transcriptional data: a new gateway to drug repositioning?

Integrated cross-study datasets of genetic dependencies in cancer

Computational estimation of quality and clinical relevance of cancer cell lines

Machine learning prediction of cancer cell sensitivity to drugs based on genomic and chemical properties

Discovery of drug mode of action and drug repositioning from transcriptional responses

Reduced gene templates for supervised analysis of scale-limited CRISPR-Cas9 fitness screens

A CRISPR Dropout Screen Identifies Genetic Vulnerabilities and Therapeutic Targets in Acute Myeloid Leukemia

Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets

Project Score database: a resource for investigating cancer cell dependencies and prioritizing therapeutic targets

Combinatorial CRISPR screen identifies fitness effects of gene paralogues

Functional linkage of gene fusions to cancer cell fitness assessed by pharmacological and CRISPR-Cas9 screening

A Yeast Synthetic Network for In Vivo Assessment of Reverse-Engineering and Modeling Approaches

CoRe: a robustly benchmarked R package for identifying core-fitness genes in genome-wide pooled CRISPR-Cas9 screens

The germline genetic component of drug sensitivity in cancer cell lines

BRAF inhibitor resistance mediated by the AKT pathway in an oncogenic BRAF mouse melanoma model

A benchmark of computational methods for correcting biases of established and unknown origin in CRISPR-Cas9 screening data

Minimal genome-wide human CRISPR-Cas9 library

On situational analysis and the explanatory power of mechanisms: Analytical sociology and the deductive-nomological model

Convolutional Neural Networks for Steady Flow Approximation

Functional Impact of Genomic Complexity on the Transcriptome of Multiple Myeloma

Drug mechanism‐of‐action discovery through the integration of pharmacological and CRISPR screens

Structural rearrangements generate cell-specific, gene-independent CRISPR-Cas9 loss of fitness effects

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