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Computational inference of gene regulatory networks: Approaches, limitations and opportunities

Biochimica et biophysica acta. Gene regulatory mechanisms, 2017-01, Vol.1860 (1), p.41-52

2017

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Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants

Plant physiology (Bethesda), 2017-04, Vol.173 (4), p.2041-2059

2017

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iTAK： A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases

Molecular plant, 2016-12, Vol.9 (12), p.1667-1670

2016

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METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters

Bioinformatics (Oxford, England), 2019-09, Vol.35 (17), p.3178-3180

2019

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Editorial: Modern machine learning approaches for quantitative inference of gene regulation from genomic and epigenomic features

Frontiers in plant science, 2023, Vol.14, p.1330793-1330793

2023

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The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond

Computation, 2021-12, Vol.9 (12), p.146

2021

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Hybrid allele-specific ChIP-seq analysis identifies variation in brassinosteroid-responsive transcription factor binding linked to traits in maize

Genome Biology, 2023-05, Vol.24 (1), p.108-108, Article 108

2023

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Enhancing gene regulatory network inference through data integration with markov random fields

Scientific reports, 2017-02, Vol.7 (1), p.41174-41174, Article 41174

2017

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microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors

International journal of genomics, 2015-01, Vol.2015 (2015), p.1-4

2015

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Computational inference of gene regulatory networks: Approaches, limitations and opportunities

Biochimica et biophysica acta. Gene regulatory mechanisms, 2017-01, Vol.1860 (1)

2017

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Assessment of network module identification across complex diseases

Nature methods, 2019-09, Vol.16 (9), p.843-852

2019

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METACLUSTER—an R package for context-specific expression analysis of metabolic gene clusters

Bioinformatics (Oxford, England), 2019-01, Vol.35 (17)

2019

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ARSK1 activates TORC1 signaling to adjust growth to phosphate availability in Arabidopsis

Current biology, 2023-05, Vol.33 (9), p.1778-1786.e5

2023

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Genomic diversity of a nectar yeast clusters into metabolically, but not geographically, distinct lineages

Molecular ecology, 2018-04, Vol.27 (8), p.2067-2076

2018

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Example-Based Rendering of Eye Movements

Computer graphics forum, 2009-04, Vol.28 (2), p.659-666

2009

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Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants1[OPEN]

Plant physiology (Bethesda), 2017-02, Vol.173 (4), p.2041-2059

2017

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Auditory image understanding for the visually impaired based on a modular computer vision sonification model

Banf, Michael

2013

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Making the visual world audible

Banf, Michael

2013

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PictureSensation – a mobile application to help the blind explore the visual world through touch and sound

Journal of rehabilitation and assistive technologies engineering, 2016-01, Vol.3, p.2055668316674582-2055668316674582

2016

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Sonification of images for the visually impaired using a multi-level approach

Proceedings of the 4th Augmented Human International Conference, 2013, p.162-169

2013

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Man made structure detection and verification of object recognition in images for the visually impaired

Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications, 2013, p.1-8

2013

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Computational inference of gene regulatory networks: Approaches, limitations and opportunities

Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants

iTAK： A Program for Genome-wide Prediction and Classification of Plant Transcription Factors, Transcriptional Regulators, and Protein Kinases

METACLUSTER-an R package for context-specific expression analysis of metabolic gene clusters

Editorial: Modern machine learning approaches for quantitative inference of gene regulation from genomic and epigenomic features

The Reasonable Effectiveness of Randomness in Scalable and Integrative Gene Regulatory Network Inference and Beyond

Hybrid allele-specific ChIP-seq analysis identifies variation in brassinosteroid-responsive transcription factor binding linked to traits in maize

Enhancing gene regulatory network inference through data integration with markov random fields

microProtein Prediction Program (miP3): A Software for Predicting microProteins and Their Target Transcription Factors

Computational inference of gene regulatory networks: Approaches, limitations and opportunities

Assessment of network module identification across complex diseases

METACLUSTER—an R package for context-specific expression analysis of metabolic gene clusters

ARSK1 activates TORC1 signaling to adjust growth to phosphate availability in Arabidopsis

Genomic diversity of a nectar yeast clusters into metabolically, but not geographically, distinct lineages

Example-Based Rendering of Eye Movements

Genome-Wide Prediction of Metabolic Enzymes, Pathways, and Gene Clusters in Plants1[OPEN]

Auditory image understanding for the visually impaired based on a modular computer vision sonification model

Making the visual world audible

PictureSensation – a mobile application to help the blind explore the visual world through touch and sound

Sonification of images for the visually impaired using a multi-level approach

Man made structure detection and verification of object recognition in images for the visually impaired

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