tailieuchung - Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions

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Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions

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Long intergenic non-coding RNAs (lincRNAs) can act as regulators of expression of protein-coding genes. Trans-natural antisense transcripts (trans-NATs) are a type of lincRNAs that contain sequence complementary to mRNA from other loci. |

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions

Long intergenic non-coding RNAs (lincRNAs) can act as regulators of expression of protein-coding genes. Trans-natural antisense transcripts (trans-NATs) are a type of lincRNAs that contain sequence complementary to mRNA from other loci. |

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Circular RNA expression and regulatory network prediction in posterior cingulate astrocytes in elderly subjects

A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data

Identification and prediction of developmental enhancers in sea urchin embryos

báo cáo khoa học: " Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data"

Bioinformatics prediction and annotation of cherry (Prunus avium L.) microRNAs and their targeted proteins

Computational enhancer prediction: Evaluation and improvements

CIPHER: A flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction

Identification of cis-regulatory motifs in first introns and the prediction of intronmediated enhancement of gene expression in Arabidopsis thaliana

Đang chuẩn bị liên kết để tải về tài liệu: Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions

Long intergenic non-coding RNAs (lincRNAs) can act as regulators of expression of protein-coding genes. Trans-natural antisense transcripts (trans-NATs) are a type of lincRNAs that contain sequence complementary to mRNA from other loci. |

Identifying miRNA-mRNA regulatory relationships in breast cancer with invariant causal prediction

Genome-wide prediction of cis-regulatory regions using supervised deep learning methods

Circular RNA expression and regulatory network prediction in posterior cingulate astrocytes in elderly subjects

A biological network-based regularized artificial neural network model for robust phenotype prediction from gene expression data

Identification and prediction of developmental enhancers in sea urchin embryos

báo cáo khoa học: " Prediction of transcriptional regulatory elements for plant hormone responses based on microarray data"

Bioinformatics prediction and annotation of cherry (Prunus avium L.) microRNAs and their targeted proteins

Computational enhancer prediction: Evaluation and improvements

CIPHER: A flexible and extensive workflow platform for integrative next-generation sequencing data analysis and genomic regulatory element prediction

Identification of cis-regulatory motifs in first introns and the prediction of intronmediated enhancement of gene expression in Arabidopsis thaliana

Đang chuẩn bị liên kết để tải về tài liệu:
Prediction of regulatory long intergenic non-coding RNAs acting in trans through base-pairing interactions