bmc bioinformatics trang 9 tải miễn phí từ TAILIEUCHUNG

"bmc bioinformatics" trang 9 - tải miễn phí từ Tailieuchung

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

A Bayesian data fusion based approach for learning genome-wide transcriptional regulatory networks

28 50 1

TS: A powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data

TS: A powerful truncated test to detect novel disease associated genes using publicly available gWAS summary data

15 46 1

Direct comparison shows that mRNA-based diagnostics incorporate information which cannot be learned directly from genomic mutations

Direct comparison shows that mRNA-based diagnostics incorporate information which cannot be learned directly from genomic mutations

10 25 1

ICEKAT: An interactive online tool for calculating initial rates from continuous enzyme kinetic traces

ICEKAT: An interactive online tool for calculating initial rates from continuous enzyme kinetic traces

12 49 1

Matrix factorization with neural network for predicting circRNA-RBP interactions

Matrix factorization with neural network for predicting circRNA-RBP interactions

15 53 1

Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions

Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions

14 47 1

MethCancer-gen: A DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder

MethCancer-gen: A DNA methylome dataset generator for user-specified cancer type based on conditional variational autoencoder

10 58 1

Broad-coverage biomedical relation extraction with SemRep

Broad-coverage biomedical relation extraction with SemRep

28 29 1

Substitution matrix based color schemes for sequence alignment visualization

Substitution matrix based color schemes for sequence alignment visualization

12 33 1

Multi-task learning sparse group lasso: A method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin

Multi-task learning sparse group lasso: A method for quantifying antigenicity of influenza A(H1N1) virus using mutations and variations in glycosylation of Hemagglutinin

22 37 1

Repetitive DNA profile of the amphibian mitogenome

13 43 1

TAMA: Improved metagenomic sequence classification through meta-analysis

TAMA: Improved metagenomic sequence classification through meta-analysis

17 40 1

SCeQTL: An R package for identifying eQTL from single-cell parallel sequencing data

SCeQTL: An R package for identifying eQTL from single-cell parallel sequencing data

12 48 1

RintC: Fast and accuracy-aware decomposition of distributions of RNA secondary structures with extended logsumexp

RintC: Fast and accuracy-aware decomposition of distributions of RNA secondary structures with extended logsumexp

19 46 1

FcScan: A versatile tool to cluster combinations of sites using genomic coordinates

FcScan: A versatile tool to cluster combinations of sites using genomic coordinates

8 59 1

VADR: Validation and annotation of virus sequence submissions to GenBank

VADR: Validation and annotation of virus sequence submissions to GenBank

23 56 1

CIPR: A web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments

CIPR: A web-based R/shiny app and R package to annotate cell clusters in single cell RNA sequencing experiments

15 40 1

Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA

Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA

19 55 1

Bio-semantic relation extraction with attention-based external knowledge reinforcement

Bio-semantic relation extraction with attention-based external knowledge reinforcement

18 68 1

Power analysis for RNA-Seq differential expression studies using generalized linear mixed effects models

Power analysis for RNA-Seq differential expression studies using generalized linear mixed effects models

12 56 1

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