tailieuchung - Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models

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Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models

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An increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenomiRs by animals. |

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Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models

An increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenomiRs by animals. |

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Đang chuẩn bị liên kết để tải về tài liệu: Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models

An increasing number of studies reported that exogenous miRNAs (xenomiRs) can be detected in animal bodies, however, some others reported negative results. Some attributed this divergence to the selective absorption of plant-derived xenomiRs by animals. |

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

A novel method to improve the speed and the accuracy of location prediction algorithm of mobile users for cellular networks

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of plant-derived xenomiRs from plant miRNA sequences using random forest and one-dimensional convolutional neural network models