Works matching IS 13674803 AND DT 2020 AND VI 36 AND IP 17
Results: 24
iBioProVis: interactive visualization and analysis of compound bioactivity space.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4674, doi. 10.1093/bioinformatics/btaa666
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A Blind and Independent Benchmark Study for Detecting Differentially Methylated Regions in Plants.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4673, doi. 10.1093/bioinformatics/btaa665
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BeadNet: deep learning-based bead detection and counting in low-resolution microscopy images.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4668, doi. 10.1093/bioinformatics/btaa594
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HAPPI GWAS: Holistic Analysis with Pre- and Post-Integration GWAS.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4655, doi. 10.1093/bioinformatics/btaa589
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The Epigenetic Pacemaker: modeling epigenetic states under an evolutionary framework.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4662, doi. 10.1093/bioinformatics/btaa585
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Molywood: streamlining the design and rendering of molecular movies.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4660, doi. 10.1093/bioinformatics/btaa584
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Very Fast Tree: speeding up the estimation of phylogenies for large alignments through parallelization and vectorization strategies.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4658, doi. 10.1093/bioinformatics/btaa582
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Tropical principal component analysis on the space of phylogenetic trees.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4590, doi. 10.1093/bioinformatics/btaa564
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Screening novel drug candidates for Alzheimer's disease by an integrated network and transcriptome analysis.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4626, doi. 10.1093/bioinformatics/btaa563
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BioModels Parameters: a treasure trove of parameter values from published systems biology models.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4649, doi. 10.1093/bioinformatics/btaa560
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Benchmark of software tools for prokaryotic chromosomal interaction domain identification.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4560, doi. 10.1093/bioinformatics/btaa555
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DeepCDA: deep cross-domain compound–protein affinity prediction through LSTM and convolutional neural networks.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4633, doi. 10.1093/bioinformatics/btaa544
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ScaleQC: a scalable lossy to lossless solution for NGS data compression.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4551, doi. 10.1093/bioinformatics/btaa543
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TaxoNN: ensemble of neural networks on stratified microbiome data for disease prediction.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4544, doi. 10.1093/bioinformatics/btaa542
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LuxUS: DNA methylation analysis using generalized linear mixed model with spatial correlation.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4535, doi. 10.1093/bioinformatics/btaa539
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HECNet: a hierarchical approach to enzyme function classification using a Siamese Triplet Network.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4583, doi. 10.1093/bioinformatics/btaa536
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Accurate prediction of genome-wide RNA secondary structure profile based on extreme gradient boosting.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4576, doi. 10.1093/bioinformatics/btaa534
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SAINT: self-attention augmented inception-inside-inception network improves protein secondary structure prediction.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4599, doi. 10.1093/bioinformatics/btaa531
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Integrating multi-OMICS data through sparse canonical correlation analysis for the prediction of complex traits: a comparison study.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4616, doi. 10.1093/bioinformatics/btaa530
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SVJedi: genotyping structural variations with long reads.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4568, doi. 10.1093/bioinformatics/btaa527
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Reference bias in the Illumina Isaac aligner.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4671, doi. 10.1093/bioinformatics/btaa514
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UniRule: a unified rule resource for automatic annotation in the UniProt Knowledgebase.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4643, doi. 10.1093/bioinformatics/btaa485
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Spathial: an R package for the evolutionary analysis of biological data.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4664, doi. 10.1093/bioinformatics/btaa273
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LeafCutterMD: an algorithm for outlier splicing detection in rare diseases.
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- Bioinformatics, 2020, v. 36, n. 17, p. 4609, doi. 10.1093/bioinformatics/btaa259
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