Works matching IS 13674803 AND DT 2020 AND VI 36 AND IP 21
Results: 22
Integrative analysis of multi-omics data for discovering low-frequency variants associated with low-density lipoprotein cholesterol levels.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5223, doi. 10.1093/bioinformatics/btaa898
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HLA predictions from the bronchoalveolar lavage fluid and blood samples of eight COVID-19 patients at the pandemic onset.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5271, doi. 10.1093/bioinformatics/btaa756
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Mechanistic insights into SARS-CoV-2 epidemic via revealing the features of SARS-CoV-2 coding proteins and host responses upon its infection.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5133, doi. 10.1093/bioinformatics/btaa725
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An information-theoretic approach for measuring the distance of organ tissue samples using their transcriptomic signatures.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5194, doi. 10.1093/bioinformatics/btaa654
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Persistent minimal sequences of SARS-CoV-2.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5129, doi. 10.1093/bioinformatics/btaa686
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- Article
IDP-Seq2Seq: identification of intrinsically disordered regions based on sequence to sequence learning.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5177, doi. 10.1093/bioinformatics/btaa667
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FANCY: fast estimation of privacy risk in functional genomics data.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5145, doi. 10.1093/bioinformatics/btaa661
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- Article
Cell2Chem: mining explored and unexplored biosynthetic chemical spaces.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5269, doi. 10.1093/bioinformatics/btaa660
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Gene Teller: an extensible Alexa Skill for gene-relevant databases.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5267, doi. 10.1093/bioinformatics/btaa659
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Highly accurate classification of chest radiographic reports using a deep learning natural language model pre-trained on 3.8 million text reports.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5255, doi. 10.1093/bioinformatics/btaa668
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- Article
Single-sequence and profile-based prediction of RNA solvent accessibility using dilated convolutional neural network.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5169, doi. 10.1093/bioinformatics/btaa652
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ToxDL: deep learning using primary structure and domain embeddings for assessing protein toxicity.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5159, doi. 10.1093/bioinformatics/btaa656
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- Article
Co-sparse reduced-rank regression for association analysis between imaging phenotypes and genetic variants.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5214, doi. 10.1093/bioinformatics/btaa650
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- Article
AmpliCI: a high-resolution model-based approach for denoising Illumina amplicon data.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5151, doi. 10.1093/bioinformatics/btaa648
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Differential Gene Set Enrichment Analysis: a statistical approach to quantify the relative enrichment of two gene sets.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5247, doi. 10.1093/bioinformatics/btaa658
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PEWO: a collection of workflows to benchmark phylogenetic placement.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5264, doi. 10.1093/bioinformatics/btaa657
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PoLoBag: Polynomial Lasso Bagging for signed gene regulatory network inference from expression data.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5187, doi. 10.1093/bioinformatics/btaa651
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PAMOGK: a pathway graph kernel-based multiomics approach for patient clustering.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5237, doi. 10.1093/bioinformatics/btaa655
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Strategy for improved characterization of human metabolic phenotypes using a COmbined Multi-block Principal components Analysis with Statistical Spectroscopy (COMPASS).
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- Bioinformatics, 2020, v. 36, n. 21, p. 5229, doi. 10.1093/bioinformatics/btaa649
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- Article
ampir: an R package for fast genome-wide prediction of antimicrobial peptides.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5262, doi. 10.1093/bioinformatics/btaa653
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Identifying disease-causing mutations with privacy protection.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5205, doi. 10.1093/bioinformatics/btaa641
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Efficient dynamic variation graphs.
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- Bioinformatics, 2020, v. 36, n. 21, p. 5139, doi. 10.1093/bioinformatics/btaa640
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