tailieunhanh - Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine

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Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine

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MicroRNAs (miRNAs) are a family of non-coding RNAs approximately 21 nucleotides in length that play pivotal roles at the post-transcriptional level in animals, plants and viruses. These molecules silence their target genes by degrading transcription or suppressing translation. |

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine

MicroRNAs (miRNAs) are a family of non-coding RNAs approximately 21 nucleotides in length that play pivotal roles at the post-transcriptional level in animals, plants and viruses. These molecules silence their target genes by degrading transcription or suppressing translation. |

Fertilizer calibrations for hybrid brinjal based cropping sequence using post-harvest soil test values prediction equations under soil test crop response based integrated plant nutrition system

Recommending plant taxa for supporting on-site species identification

Leaf area prediction models (Uzçelik I) for different horticultural plants

Seqping: Gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data

PlantTFcat: An online plant transcription factor and transcriptional regulator categorization and analysis tool

Robust estimation of heritability and predictive accuracy in plant breeding: Evaluation using simulation and empirical data

Applying multiple deep models to predict plant pests in advanced agriculture

Genome-wide association studies and whole-genome prediction reveal the genetic architecture of KRN in maize

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

Báo cáo y học: "TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum"

Đang chuẩn bị liên kết để tải về tài liệu: Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine

MicroRNAs (miRNAs) are a family of non-coding RNAs approximately 21 nucleotides in length that play pivotal roles at the post-transcriptional level in animals, plants and viruses. These molecules silence their target genes by degrading transcription or suppressing translation. |

Fertilizer calibrations for hybrid brinjal based cropping sequence using post-harvest soil test values prediction equations under soil test crop response based integrated plant nutrition system

Recommending plant taxa for supporting on-site species identification

Leaf area prediction models (Uzçelik I) for different horticultural plants

Seqping: Gene prediction pipeline for plant genomes using self-training gene models and transcriptomic data

PlantTFcat: An online plant transcription factor and transcriptional regulator categorization and analysis tool

Robust estimation of heritability and predictive accuracy in plant breeding: Evaluation using simulation and empirical data

Applying multiple deep models to predict plant pests in advanced agriculture

Genome-wide association studies and whole-genome prediction reveal the genetic architecture of KRN in maize

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

Báo cáo y học: "TCMGIS-II based prediction of medicinal plant distribution for conservation planning: a case study of Rheum tanguticum"

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of plant pre-microRNAs and their microRNAs in genome-scale sequences using structure-sequence features and support vector machine