Prediction of enhancer–promoter interactions using the cross‑cell type information and domain adversarial neural network

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Prediction of enhancer–promoter interactions using the cross‑cell type information and domain adversarial neural network

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Enhancer–promoter interactions (EPIs) play key roles in transcriptional regulation and disease progression. Although several computational methods have been developed to predict such interactions, their performances are not satisfactory when training and testing data from different cell lines. |

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Prediction of enhancer–promoter interactions using the cross‑cell type information and domain adversarial neural network

Enhancer–promoter interactions (EPIs) play key roles in transcriptional regulation and disease progression. Although several computational methods have been developed to predict such interactions, their performances are not satisfactory when training and testing data from different cell lines. |

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FreeContact: Fast and free software for protein contact prediction from residue co-evolution

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Hypergraph and protein function prediction with gene expression data

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Đang chuẩn bị liên kết để tải về tài liệu: Prediction of enhancer–promoter interactions using the cross‑cell type information and domain adversarial neural network

Enhancer–promoter interactions (EPIs) play key roles in transcriptional regulation and disease progression. Although several computational methods have been developed to predict such interactions, their performances are not satisfactory when training and testing data from different cell lines. |

SMOOTHING, FILTERING AND PREDICTION: ESTIMATING THE PAST, PRESENT AND FuTuRE

SRAM IDT7026 SEU prediction and on orbit validation

Multi-regression prediction model for surface roughness and tool wear in turning novel aluminum alloy (LM6)/fly ash composite using response surface and central composite design methodology

FreeContact: Fast and free software for protein contact prediction from residue co-evolution

Cellular network traffic prediction using exponential smoothing methods

Hypergraph and protein function prediction with gene expression data

Performance analysis of stock market prediction techniques

Traffic flow prediction model based on neighbouring roads using neural network and multiple regression

Performance analysis of a real time adaptive prediction algorithm for traffic congestion

Rainfall-runoff prediction based on artificial neural network: A case study priyadarshini watershed

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of enhancer–promoter interactions using the cross‑cell type information and domain adversarial neural network