Works matching IS 14712105 AND DT 2020 AND VI 21 AND IP 1
Results: 436
PyClone-VI: scalable inference of clonal population structures using whole genome data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03919-2
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- Article
ped_draw: pedigree drawing with ease.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03917-4
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iDPGK: characterization and identification of lysine phosphoglycerylation sites based on sequence-based features.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03916-5
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Hybrid attentional memory network for computational drug repositioning.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03898-4
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ideal: an R/Bioconductor package for interactive differential expression analysis.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03819-5
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High-throughput analysis suggests differences in journal false discovery rate by subject area and impact factor but not open access status.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03817-7
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gpps: an ILP-based approach for inferring cancer progression with mutation losses from single cell data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03736-7
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Decoy selection for protein structure prediction via extreme gradient boosting and ranking.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-3523-9
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Convolutional neural network for automated mass segmentation in mammography.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-3521-y
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So you think you can PLS-DA?
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-019-3310-7
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Linear space string correction algorithm using the Damerau-Levenshtein distance.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-019-3184-8
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multiGSEA: a GSEA-based pathway enrichment analysis for multi-omics data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03910-x
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Regional registration of whole slide image stacks containing major histological artifacts.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03907-6
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LabPipe: an extensible bioinformatics toolkit to manage experimental data and metadata.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03908-5
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- Article
A novel computational model for predicting potential LncRNA-disease associations based on both direct and indirect features of LncRNA-disease pairs.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03906-7
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A novel computational strategy for DNA methylation imputation using mixture regression model (MRM).
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03865-z
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Finding a suitable library size to call variants in RNA-Seq.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03860-4
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Isabl Platform, a digital biobank for processing multimodal patient data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03879-7
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Increased biological relevance of transcriptome analyses in human skeletal muscle using a model-specific pipeline.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03866-y
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CGINet: graph convolutional network-based model for identifying chemical-gene interaction in an integrated multi-relational graph.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03899-3
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Multiple imputation and direct estimation for qPCR data with non-detects.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03807-9
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Improving biomedical named entity recognition with syntactic information.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03834-6
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Mixed logistic regression in genome-wide association studies.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03862-2
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MADloy: robust detection of mosaic loss of chromosome Y from genotype-array-intensity data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03768-z
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The MOBSTER R package for tumour subclonal deconvolution from bulk DNA whole-genome sequencing data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03863-1
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LC-N2G: a local consistency approach for nutrigenomics data analysis.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03861-3
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A computational diffusion model to study antibody transport within reconstructed tumor microenvironments.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03854-2
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Clover: a clustering-oriented de novo assembler for Illumina sequences.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03788-9
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Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03853-3
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Natrix: a Snakemake-based workflow for processing, clustering, and taxonomically assigning amplicon sequencing reads.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03852-4
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Stability and bifurcations in a discrete-time epidemic model with vaccination and vital dynamics.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03839-1
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Latent class distributional regression for the estimation of non-linear reference limits from contaminated data sources.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03853-3
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Deep learning based DNA:RNA triplex forming potential prediction.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03864-0
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SCELLECTOR: ranking amplification bias in single cells using shallow sequencing.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03858-y
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Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03842-6
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DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03748-3
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Avian Immunome DB: an example of a user-friendly interface for extracting genetic information.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03764-3
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Performance of copy number variants detection based on whole-genome sequencing by DNBSEQ platforms.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03859-x
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High quality genome assemblies of Mycoplasma bovis using a taxon-specific Bonito basecaller for MinION and Flongle long-read nanopore sequencing.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03856-0
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Achieving large and distant ancestral genome inference by using an improved discrete quantum-behaved particle swarm optimization algorithm.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03833-7
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Novel domain expansion methods to improve the computational efficiency of the Chemical Master Equation solution for large biological networks.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03668-2
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Understanding the causes of errors in eukaryotic protein-coding gene prediction: a case study of primate proteomes.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03855-1
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A sequence embedding method for enzyme optimal condition analysis.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03851-5
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Inferring chromosome radial organization from Hi-C data.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03841-7
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Speeding up the core algorithm for the dual calculation of minimal cut sets in large metabolic networks.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03837-3
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DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03809-7
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Prediction of enhancer–promoter interactions using the cross-cell type information and domain adversarial neural network.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03844-4
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Prediction and prioritization of autism-associated long non-coding RNAs using gene expression and sequence features.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03843-5
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Identification and utilization of copy number information for correcting Hi-C contact map of cancer cell lines.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03832-8
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ISSEC: inferring contacts among protein secondary structure elements using deep object detection.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03793-y
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