検索結果 - Mark Gerstein

Personal phenotypes to go with personal genomes 著者: Michael Snyder, Sherman Weissman, Mark Gerstein

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Transmembrane protein oxygen content and compartmentalization of cells. 著者: Rajkumar Sasidharan, Andrew Smith, Mark Gerstein

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Identification and correction of spurious spatial correlations in microarray data 著者: Jiang Qian, Yuval Kluger, Haiyuan Yu, Mark Gerstein

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Interpretation of genomic variants using a unified biological network approach. 著者: Ekta Khurana, Yao Fu, Jieming Chen, Mark Gerstein

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Estimating growth patterns and driver effects in tumor evolution from individual samples 著者: Leonidas Salichos, William Meyerson, Jonathan Warrell, Mark Gerstein

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Deep learning analysis of fMRI data for predicting Alzheimer's Disease: A focus on convolutional neural networks and model interpretability. 著者: Xiao Zhou, Sanchita Kedia, Ran Meng, Mark Gerstein

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Using blockchain to log genome dataset access: efficient storage and query 著者: Gamze Gürsoy, Robert Bjornson, Molly E. Green, Mark Gerstein

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The role of disorder in interaction networks: a structural analysis 著者: Philip M Kim, Andrea Sboner, Yu Xia, Mark Gerstein

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Disentangled autoencoding equivariant diffusion model for controlled generation of 3D molecules 著者: Tianxiao Li, Haoran Liu, Hongyu Guo, Mark Gerstein, Martin Renqiang Min

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Privacy-preserving cancer type prediction with homomorphic encryption 著者: Esha Sarkar, Eduardo Chielle, Gamze Gursoy, Leo Chen, Mark Gerstein, Michail Maniatakos

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Latent-space embedding of expression data identifies gene signatures from sputum samples of asthmatic patients 著者: Shaoke Lou, Tianxiao Li, Daniel Spakowicz, Xiting Yan, Geoffrey Lowell Chupp, Mark Gerstein

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An integrative genomic approach to uncover molecular mechanisms of prokaryotic traits. 著者: Yang Liu, Jianrong Li, Lee Sam, Chern-Sing Goh, Mark Gerstein, Yves A Lussier

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Constructing a full, multiple-layer interactome for SARS-CoV-2 in the context of lung disease: Linking the virus with human genes and microbes. 著者: Shaoke Lou, Mingjun Yang, Tianxiao Li, Weihao Zhao, Hannah Cevasco, Yucheng T Yang, Mark Gerstein

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DiNeR: a Differential graphical model for analysis of co-regulation Network Rewiring 著者: Jing Zhang, Jason Liu, Donghoon Lee, Shaoke Lou, Zhanlin Chen, Gamze Gürsoy, Mark Gerstein

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The chronODE framework for modelling multi-omic time series with ordinary differential equations and machine learning 著者: Beatrice Borsari, Mor Frank, Eve S. Wattenberg, Ke Xu, Susanna X. Liu, Xuezhu Yu, Mark Gerstein

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Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data. 著者: Che Yu Lee, Yuhang Chen, Ziheng Duan, Min Xu, Matthew J Girgenti, Ke Xu, Mark Gerstein, Jing Zhang

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Discordant Expression of Circulating microRNA from Cellular and Extracellular Sources. 著者: Ravi Shah, Kahraman Tanriverdi, Daniel Levy, Martin Larson, Mark Gerstein, Eric Mick, Joel Rozowsky, Robert Kitchen, Venkatesh Murthy, Ekaterina Mikalev, Jane E Freedman

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Transcriptional determinism and stochasticity contribute to the complexity of autism-associated SHANK family genes 著者: Xiaona Lu, Pengyu Ni, Paola Suarez-Meade, Yu Ma, Emily Niemitz Forrest, Guilin Wang, Yi Wang, Alfredo Quiñones-Hinojosa, Mark Gerstein, Yong-hui Jiang

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Construction and analysis of an integrated regulatory network derived from high-throughput sequencing data. 著者: Chao Cheng, Koon-Kiu Yan, Woochang Hwang, Jiang Qian, Nitin Bhardwaj, Joel Rozowsky, Zhi John Lu, Wei Niu, Pedro Alves, Masaomi Kato, Michael Snyder, Mark Gerstein

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GRAM: A GeneRAlized Model to predict the molecular effect of a non-coding variant in a cell-type specific manner. 著者: Shaoke Lou, Kellie A Cotter, Tianxiao Li, Jin Liang, Hussein Mohsen, Jason Liu, Jing Zhang, Sandra Cohen, Jinrui Xu, Haiyuan Yu, Mark A Rubin, Mark Gerstein

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