Ohcanbohtosat - Anshul Kundaje

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  1. 1
    Reverse-complement parameter sharing improves deep learning models for genomics

    Reverse-complement parameter sharing improves deep learning models for genomics Dahkki Avanti Shrikumar, Peyton Greenside, Anshul Kundaje

    Almmustuhtton 2017
    Viečča ollesdeavstta Viečča ollesdeavstta
    Pré-impressão
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  2. 2
    GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs

    GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs Dahkki Avanti Shrikumar, Eva Prakash, Anshul Kundaje

    Almmustuhtton 2019
    Viečča ollesdeavstta Viečča ollesdeavstta
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  3. 3
    Characterization of the direct targets of<scp>FOXO</scp>transcription factors throughout evolution

    Characterization of the direct targets of<scp>FOXO</scp>transcription factors throughout evolution Dahkki Ashley E. Webb, Anshul Kundaje, Anne Brunet

    Almmustuhtton 2016
    Viečča ollesdeavstta Viečča ollesdeavstta
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  4. 4
    Denoising genome-wide histone ChIP-seq with convolutional neural networks

    Denoising genome-wide histone ChIP-seq with convolutional neural networks Dahkki Pang Wei Koh, Emma Pierson, Anshul Kundaje

    Almmustuhtton 2017
    Viečča ollesdeavstta Viečča ollesdeavstta
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  5. 5
    The ENCODE Blacklist: Identification of Problematic Regions of the Genome

    The ENCODE Blacklist: Identification of Problematic Regions of the Genome Dahkki Haley M. Amemiya, Anshul Kundaje, Alan P. Boyle

    Almmustuhtton 2019
    Viečča ollesdeavstta Viečča ollesdeavstta
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  6. 6
    Umap and Bismap: quantifying genome and methylome mappability

    Umap and Bismap: quantifying genome and methylome mappability Dahkki Mehran Karimzadeh, Carl Ernst, Anshul Kundaje, Michael M. Hoffman

    Almmustuhtton 2018
    Viečča ollesdeavstta Viečča ollesdeavstta
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  7. 7
    Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts

    Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts Dahkki Surag Nair, Daniel Sunwook Kim, Jacob Perricone, Anshul Kundaje

    Almmustuhtton 2019
    Viečča ollesdeavstta Viečča ollesdeavstta
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  8. 8
    MTSplice predicts effects of genetic variants on tissue-specific splicing

    MTSplice predicts effects of genetic variants on tissue-specific splicing Dahkki Jun Cheng, Muhammed Hasan Çelik, Anshul Kundaje, Julien Gagneur

    Almmustuhtton 2021
    Viečča ollesdeavstta Viečča ollesdeavstta
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  9. 9
    Deciphering the impact of genetic variation on human polyadenylation using APARENT2

    Deciphering the impact of genetic variation on human polyadenylation using APARENT2 Dahkki Johannes Linder, Samantha E. Koplik, Anshul Kundaje, Georg Seelig

    Almmustuhtton 2022
    Viečča ollesdeavstta Viečča ollesdeavstta
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  10. 10
    Large-Scale Quality Analysis of Published ChIP-seq Data

    Large-Scale Quality Analysis of Published ChIP-seq Data Dahkki Georgi K. Marinov, Anshul Kundaje, Peter J. Park, B Wold

    Almmustuhtton 2013
    Viečča ollesdeavstta Viečča ollesdeavstta
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  11. 11
    Predicting genetic regulatory response using classification

    Predicting genetic regulatory response using classification Dahkki Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina Leslie

    Almmustuhtton 2004
    Viečča ollesdeavstta
    Artigo
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  12. 12
    Discovering epistatic feature interactions from neural network models of regulatory DNA sequences

    Discovering epistatic feature interactions from neural network models of regulatory DNA sequences Dahkki Peyton Greenside, Tyler C. Shimko, Polly M. Fordyce, Anshul Kundaje

    Almmustuhtton 2018
    Viečča ollesdeavstta Viečča ollesdeavstta
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  13. 13
    Initiation of mtDNA transcription is followed by pausing, and diverges across human cell types and during evolution

    Initiation of mtDNA transcription is followed by pausing, and diverges across human cell types and during evolution Dahkki Amit Blumberg, Edward J. Rice, Anshul Kundaje, Charles G. Danko, Dan Mishmar

    Almmustuhtton 2017
    Viečča ollesdeavstta Viečča ollesdeavstta
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  14. 14
    Linking disease associations with regulatory information in the human genome

    Linking disease associations with regulatory information in the human genome Dahkki Marc A. Schaub, Alan P. Boyle, Anshul Kundaje, Serafim Batzoglou, M Snyder

    Almmustuhtton 2012
    Viečča ollesdeavstta Viečča ollesdeavstta
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  15. 15
    Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays

    Deciphering regulatory DNA sequences and noncoding genetic variants using neural network models of massively parallel reporter assays Dahkki Rajiv Movva, Peyton Greenside, Georgi K. Marinov, Surag Nair, Avanti Shrikumar, Anshul Kundaje

    Almmustuhtton 2019
    Viečča ollesdeavstta Viečča ollesdeavstta
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  16. 16
    Transcription-dependent domain-scale three-dimensional genome organization in the dinoflagellate Breviolum minutum

    Transcription-dependent domain-scale three-dimensional genome organization in the dinoflagellate Breviolum minutum Dahkki Georgi K. Marinov, Alexandro E. Trevino, T. Xiang, Anshul Kundaje, Arthur Grossman, William J. Greenleaf

    Almmustuhtton 2021
    Viečča ollesdeavstta Viečča ollesdeavstta
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  17. 17
    Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease

    Conserved epigenomic signals in mice and humans reveal immune basis of Alzheimer’s disease Dahkki Elizabeta Gjoneska, Andreas Pfenning, Hansruedi Mathys, Gerald Quon, Anshul Kundaje, Li-Huei Tsai, Manolis Kellis

    Almmustuhtton 2015
    Viečča ollesdeavstta Viečča ollesdeavstta
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  18. 18
    Domain-adaptive neural networks improve cross-species prediction of transcription factor binding

    Domain-adaptive neural networks improve cross-species prediction of transcription factor binding Dahkki Kelly Cochran, Divyanshi Srivastava, Avanti Shrikumar, Akshay Balsubramani, Ross C. Hardison, Anshul Kundaje, Shaun Mahony

    Almmustuhtton 2022
    Viečča ollesdeavstta Viečča ollesdeavstta
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  19. 19
    Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage

    Transfer learning reveals sequence determinants of the quantitative response to transcription factor dosage Dahkki Sahin Naqvi, Seungsoo Kim, Saman Tabatabaee, Anusri Pampari, Anshul Kundaje, Jonathan K. Pritchard, Joanna Wysocka

    Almmustuhtton 2025
    Viečča ollesdeavstta
    Artigo
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  20. 20
    Chromatin accessibility dynamics reveal novel functional enhancers in <i>C. elegans</i>

    Chromatin accessibility dynamics reveal novel functional enhancers in <i>C. elegans</i> Dahkki Aaron C. Daugherty, Robin W. Yeo, Jason D. Buenrostro, William J. Greenleaf, Anshul Kundaje, Anne Brunet

    Almmustuhtton 2017
    Viečča ollesdeavstta Viečča ollesdeavstta
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