Rezultati - Arjun Krishnan

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  1. 1
    PecanPy: a fast, efficient and parallelized Python implementation of <i>node2vec</i>

    PecanPy: a fast, efficient and parallelized Python implementation of <i>node2vec</i> od Renming Liu, Arjun Krishnan

    Izdano 2021
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  2. 2
    Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

    Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data od Kayla A Johnson, Arjun Krishnan

    Izdano 2022
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  3. 3
    Accurately modeling biased random walks on weighted networks using <i>node2vec+</i>

    Accurately modeling biased random walks on weighted networks using <i>node2vec+</i> od Renming Liu, Matthew Hirn, Arjun Krishnan

    Izdano 2023
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  4. 4
    GIANT 2.0: genome-scale integrated analysis of gene networks in tissues

    GIANT 2.0: genome-scale integrated analysis of gene networks in tissues od Aaron K. Wong, Arjun Krishnan, Olga G. Troyanskaya

    Izdano 2018
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  5. 5
    Supervised learning is an accurate method for network-based gene classification

    Supervised learning is an accurate method for network-based gene classification od Renming Liu, Christopher A Mancuso, Anna Yannakopoulos, Kayla A Johnson, Arjun Krishnan

    Izdano 2020
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  6. 6
    IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks

    IMP 2.0: a multi-species functional genomics portal for integration, visualization and prediction of protein functions and networks od Aaron K. Wong, Arjun Krishnan, Vicky Yao, Alicja Tadych, Olga G. Troyanskaya

    Izdano 2015
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  7. 7
    Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms

    Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms od Christopher Y. Park, Arjun Krishnan, Qian Zhu, Aaron K. Wong, Young-Suk Lee, Olga G. Troyanskaya

    Izdano 2014
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  8. 8
    Coordinated regulation of photosynthesis in rice increases yield and tolerance to environmental stress

    Coordinated regulation of photosynthesis in rice increases yield and tolerance to environmental stress od Madana M.R. Ambavaram, Supratim Basu, Arjun Krishnan, Venkategowda Ramegowda, Utlwang Batlang, Lutfor Rahman, Niranjan Baisakh, Andy Pereira

    Izdano 2014
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  9. 9
    Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder

    Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder od Arjun Krishnan, Ran Zhang, Vicky Yao, Chandra L. Theesfeld, Aaron K. Wong, Alicja Tadych, Natalia Volfovsky, Alan Packer, Alex E. Lash, Olga G. Troyanskaya

    Izdano 2016
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  10. 10
    Targeted exploration and analysis of large cross-platform human transcriptomic compendia

    Targeted exploration and analysis of large cross-platform human transcriptomic compendia od Qian Zhu, Aaron K. Wong, Arjun Krishnan, Miriam R. R. Aure, Alicja Tadych, Ran Zhang, David C. Corney, Casey S. Greene, Lars Ailo Bongo, Vessela N. Kristensen, Moses Charikar, Kai Li, Olga G. Troyanskaya

    Izdano 2015
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  11. 11
    Integration of 168,000 samples reveals global patterns of the human gut microbiome

    Integration of 168,000 samples reveals global patterns of the human gut microbiome od Richard J. Abdill, Samantha P. Graham, Vincent Rubinetti, Mansooreh Ahmadian, Parker Hicks, Ashwin Chetty, Daniel McDonald, Pamela Ferretti, Elizabeth Gibbons, Marco Rossi, Arjun Krishnan, Frank W. Albert, Casey S. Greene, Sean Davis, Ran Blekhman

    Izdano 2025
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  12. 12
    Understanding multicellular function and disease with human tissue-specific networks

    Understanding multicellular function and disease with human tissue-specific networks od Casey S. Greene, Arjun Krishnan, Aaron K. Wong, Emanuela Ricciotti, René A. Zelaya, Daniel Himmelstein, Ran Zhang, Boris Hartmann, Elena Zaslavsky, Stuart C. Sealfon, Daniel I. Chasman, Garret A. FitzGerald, Kara Dolinski, Tilo Großer, Olga G. Troyanskaya

    Izdano 2015
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  13. 13
    Current and future directions in network biology

    Current and future directions in network biology od Marinka Žitnik, Michelle M. Li, A. V. Wells, Kimberly Glass, Deisy Morselli Gysi, Arjun Krishnan, T. M. Murali, Predrag Radivojac, Sushmita Roy, Anaı̈s Baudot, Serdar Bozdag, Danny Z. Chen, Lenore Cowen, Kapil Devkota, Anthony Gitter, Sara J.C. Gosline, Pengfei Gu, Pietro Hiram Guzzi, Heng Huang, Meng Jiang, Ziynet Nesibe Kesimoglu, Mehmet Koyutürk, Jian Ma, Alexander R. Pico, Nataša Pržulj, Teresa M. Przytycka, Benjamin J. Raphael, Anna Ritz, Roded Sharan, Yang Shen, Mona Singh, Donna K. Slonim, Hanghang Tong, Xinan Yang, Byung-Jun Yoon, Haiyuan Yu, Tijana Milenković

    Izdano 2023
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    Pré-impressão
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  14. 14
    Current and future directions in network biology

    Current and future directions in network biology od Marinka Žitnik, Michelle M. Li, A. V. Wells, Kimberly Glass, Deisy Morselli Gysi, Arjun Krishnan, T. M. Murali, Predrag Radivojac, Sushmita Roy, Anaı̈s Baudot, Serdar Bozdag, Danny Z. Chen, Lenore Cowen, Kapil Devkota, Anthony Gitter, Sara J.C. Gosline, Pengfei Gu, Pietro Hiram Guzzi, Heng Huang, Meng Jiang, Ziynet Nesibe Kesimoglu, Mehmet Koyutürk, Jian Ma, Alexander R. Pico, Nataša Pržulj, Teresa M. Przytycka, Benjamin J. Raphael, Anna Ritz, Roded Sharan, Yang Shen, Mona Singh, Donna K. Slonim, Hanghang Tong, Xinan Yang, Byung-Jun Yoon, Haiyuan Yu, Tijana Milenković

    Izdano 2024
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    Editorial
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  15. 15
    Rare variants in the genetic background modulate cognitive and developmental phenotypes in individuals carrying disease-associated variants

    Rare variants in the genetic background modulate cognitive and developmental phenotypes in individuals carrying disease-associated variants od Lucilla Pizzo, Matthew Jensen, Andrew Polyak, Jill A. Rosenfeld, Katrin Männik, Arjun Krishnan, M. Elizabeth McCready, Olivier Pichon, Cédric Le Caignec, Anke Van Dijck, Kate Pope, Els Voorhoeve, Jieun Yoon, Paweł Stankiewicz, Sau Wai Cheung, Damian Pazuchanics, Emily Huber, Vijay Kumar, Rachel L. Kember, Francesca Mari, Aurora Currò, Lucia Castiglia, Ornella Galesi, Emanuela Avola, Teresa Mattina, Marco Fichera, Luana Mandarà, Marie Vincent, Mathilde Nizon, Sandra Mercier, Claire Bénéteau, Sophie Blesson, Dominique Martin–Coignard, Anne-Laure Mosca-Boidron, Jean-Hubert Caberg, Maja Bućan, Susan Zeesman, Małgorzata J.M. Nowaczyk, Mathilde Lefebvre, Laurence Faivre, Patrick Callier, Cindy Skinner, Boris Keren, Perrine Charles, Paolo Prontera, Nathalie Marle, Alessandra Renieri, Alexandre Reymond, R. Frank Kooy, Bertrand Isidor, Charles E. Schwartz, Corrado Romano, Erik A. Sistermans, David J. Amor, Joris Andrieux, Santhosh Girirajan

    Izdano 2018
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