Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources

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Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources

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Although different protein-protein physical interaction (PPI) datasets exist for Escherichia coli, no common methodology exists to integrate these datasets and extract reliable modules reflecting the existing biological process and protein complexes. |

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Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources

Although different protein-protein physical interaction (PPI) datasets exist for Escherichia coli, no common methodology exists to integrate these datasets and extract reliable modules reflecting the existing biological process and protein complexes. |

Báo cáo y học: "Improving the prediction of yeast protein function using weighted protein-protein interactions"

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Improving the accuracy of high-throughput protein-protein affinity prediction may require better training data

Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources

Improving predicted residue-residue contacts by filtering false positive samples

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MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm

Understanding the regulatory mechanisms of milk production using integrative transcriptomic and proteomic analyses: Improving inefficient utilization of crop byproducts as forage in dairy industry

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Đang chuẩn bị liên kết để tải về tài liệu: Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources

Although different protein-protein physical interaction (PPI) datasets exist for Escherichia coli, no common methodology exists to integrate these datasets and extract reliable modules reflecting the existing biological process and protein complexes. |

Báo cáo y học: "Improving the prediction of yeast protein function using weighted protein-protein interactions"

DeepQA: Improving the estimation of single protein model quality with deep belief networks

Improving the accuracy of high-throughput protein-protein affinity prediction may require better training data

Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources

Improving predicted residue-residue contacts by filtering false positive samples

Do it yourself home energy audit: A step-by-step guide for identifying and improving your home’s energy efficiency

MUMAL2: Improving sensitivity in shotgun proteomics using cost sensitive artificial neural networks and a threshold selector algorithm

Understanding the regulatory mechanisms of milk production using integrative transcriptomic and proteomic analyses: Improving inefficient utilization of crop byproducts as forage in dairy industry

Improving protein domain classification for third-generation sequencing reads using deep learning

Improving the large scale purification of the HIV microbicide, griffithsin

Đang chuẩn bị liên kết để tải về tài liệu:
Improving protein complex prediction by reconstructing a high-confidence proteinprotein interaction network of Escherichia coli from different physical interaction data sources