Rezultati - Sandeep Amberkar

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  1. 1
    KnetMiner: a comprehensive approach for supporting evidence‐based gene discovery and complex trait analysis across species

    KnetMiner: a comprehensive approach for supporting evidence‐based gene discovery and complex trait analysis across species od Keywan Hassani‐Pak, Ajit Singh, Marco Brandizi, Joseph Hearnshaw, Jeremy Parsons, Sandeep Amberkar, Andrew L. Phillips, John H. Doonan, Chris Rawlings

    Izdano 2021
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  2. 2
    Whole‐genome sequencing reveals new Alzheimer's disease–associated rare variants in loci related to synaptic function and neuronal development

    Whole‐genome sequencing reveals new Alzheimer's disease–associated rare variants in loci related to synaptic function and neuronal development od Dmitry Prokopenko, Sarah Morgan, Kristina Mullin, Oliver Hofmann, Brad Chapman, Rory Kirchner, Sandeep Amberkar, Inken Wohlers, Christoph Lange, Yoshihide Hayashizaki, Lars Bertram, Rudolph E. Tanzi

    Izdano 2021
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  3. 3
    Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach

    Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach od Benjamin A. Logsdon, Thanneer M. Perumal, Vivek Swarup, Minghui Wang, Cory C. Funk, Chris Gaiteri, Mariet Allen, Xue Wang, Eric B. Dammer, Gyan Srivastava, Sumit Mukherjee, Solveig K. Sieberts, Larsson Omberg, Kristen D. Dang, James A. Eddy, Phil Snyder, Yooree Chae, Sandeep Amberkar, Wenbin Wei, Yoshihide Hayashizaki, Christoph Preuß, Ayla Ergün, Phillip J. Ebert, David Airey, Gregory W. Carter, Sara Mostafavi, Lei Yu, Hans‐Ulrich Klein, David Collier, Todd E. Golde, Allan I. Levey, David A. Bennett, Karol Estrada, Michael Decker, Zhandong Liu, Joshua M. Shulman, Bin Zhang, Eric E. Schadt, Phillip L. De Jager, Nathan D. Price, Nilüfer Ertekin‐Taner, Lara M. Mangravite

    Izdano 2019
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  4. 4
    Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models

    Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models od Ying‐Wooi Wan, Rami Al‐Ouran, Carl Grant Mangleburg, Thanneer M. Perumal, Tom V. Lee, Katherine Allison, Vivek Swarup, Cory C. Funk, Chris Gaiteri, Mariet Allen, Minghui Wang, Sarah M. Neuner, Catherine C. Kaczorowski, Vivek M. Philip, Gareth R. Howell, Heidi Martini‐Stoica, Hui Zheng, Hongkang Mei, Xiaoyan Zhong, Jungwoo Wren Kim, Valina L. Dawson, Ted M. Dawson, Ping‐Chieh Pao, Li‐Huei Tsai, Jean‐Vianney Haure‐Mirande, Michelle E. Ehrlich, Paramita Chakrabarty, Yona Levites, Xue Wang, Eric B. Dammer, Gyan Srivastava, Sumit Mukherjee, Solveig K. Sieberts, Larsson Omberg, Kristen K. Dang, James A. Eddy, Phil Snyder, Yooree Chae, Sandeep Amberkar, Wenbin Wei, Yoshihide Hayashizaki, Christoph Preuß, Ayla Ergün, Phillip J. Ebert, David Airey, Sara Mostafavi, Lei Yu, Hans‐Ulrich Klein, Gregory W. Carter, David Collier, Todd E. Golde, Allan I. Levey, David A. Bennett, Karol Estrada, T. Matthew Townsend, Bin Zhang, Eric E. Schadt, Philip L. De Jager, Nathan D. Price, Nilüfer Ertekin‐Taner, Zhandong Liu, Joshua M. Shulman, Lara M. Mangravite, Benjamin A. Logsdon

    Izdano 2020
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