檢索結果 - Elemento, Olivier

Developing a systems-level understanding of gene expression 由 Elemento, Olivier

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KLF4: A new player in plasma cell development 由 Elemento, Olivier

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The road from Rous sarcoma virus to precision medicine 由 Elemento, Olivier

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Toward Artificial Intelligence–Driven Pathology Assessment for Hematologic Malignancies 由 Elemento, Olivier

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Tracing the roots of cancer evolution 由 Jiang, Yanwen, Elemento, Olivier

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Regulatory elements in molecular networks 由 Doane, Ashley S., Elemento, Olivier

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Fast and systematic genome-wide discovery of conserved regulatory elements using a non-alignment based approach 由 Elemento, Olivier, Tavazoie, Saeed

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Towards a better cancer precision medicine: systems biology meets immunotherapy 由 Bhinder, Bhavneet, Elemento, Olivier

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Analyzing DNA Methylation patterns during tumor evolution 由 Pan, Heng, Elemento, Olivier

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An integrated ChIP-seq analysis platform with customizable workflows 由 Giannopoulou, Eugenia G, Elemento, Olivier

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Faster sequencers, larger datasets, new challenges 由 Mason, Christopher E, Elemento, Olivier

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Inferring chromatin-bound protein complexes from genome-wide binding assays 由 Giannopoulou, Eugenia G., Elemento, Olivier

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Revealing Posttranscriptional Regulatory Elements Through Network-Level Conservation 由 Chan, Chang S, Elemento, Olivier, Tavazoie, Saeed

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Ab initio genotype–phenotype association reveals intrinsic modularity in genetic networks 由 Slonim, Noam, Elemento, Olivier, Tavazoie, Saeed

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A universal framework for regulatory element discovery across all genomes and data-types 由 Elemento, Olivier, Slonim, Noam, Tavazoie, Saeed

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Revealing global regulatory perturbations across human cancers 由 Goodarzi, Hani, Elemento, Olivier, Tavazoie, Saeed

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Large-Scale Discovery and Characterization of Protein Regulatory Motifs in Eukaryotes 由 Lieber, Daniel S., Elemento, Olivier, Tavazoie, Saeed

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A Novel Approach for Characterizing Microsatellite Instability in Cancer Cells 由 Lu, Yuheng, Soong, T. David, Elemento, Olivier

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Single-cell TCRseq: paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq 由 Redmond, David, Poran, Asaf, Elemento, Olivier

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A data-driven approach to predicting successes and failures of clinical trials 由 Gayvert, Kaitlyn, Madhukar, Neel, Elemento, Olivier

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