Works matching IS 14675463 AND DT 2020 AND VI 21 AND IP 3
Results: 30
PRISMOID: a comprehensive 3D structure database for post-translational modifications and mutations with functional impact.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1069, doi. 10.1093/bib/bbz050
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Consistent gene signature of schizophrenia identified by a novel feature selection strategy from comprehensive sets of transcriptomic data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1058, doi. 10.1093/bib/bbz049
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Evaluation of different computational methods on 5-methylcytosine sites identification.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 982, doi. 10.1093/bib/bbz048
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Comparison and integration of computational methods for deleterious synonymous mutation prediction.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 970, doi. 10.1093/bib/bbz047
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A comprehensive overview of oncogenic pathways in human cancer.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 957, doi. 10.1093/bib/bbz046
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Transcription factors–DNA interactions in rice: identification and verification.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 946, doi. 10.1093/bib/bbz045
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Implementing the FAIR Data Principles in precision oncology: review of supporting initiatives.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 936, doi. 10.1093/bib/bbz044
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Characterization and identification of antimicrobial peptides with different functional activities.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1098, doi. 10.1093/bib/bbz043
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Graph convolutional networks for computational drug development and discovery.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 919, doi. 10.1093/bib/bbz042
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iLearn: an integrated platform and meta-learner for feature engineering, machine-learning analysis and modeling of DNA, RNA and protein sequence data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1047, doi. 10.1093/bib/bbz041
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Single-cell transcriptome-based multilayer network biomarker for predicting prognosis and therapeutic response of gliomas.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1080, doi. 10.1093/bib/bbz040
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DNA methylation analysis in plants: review of computational tools and future perspectives.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 906, doi. 10.1093/bib/bbz039
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100 Years of evolving gene–disease complexities and scientific debutants.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 885, doi. 10.1093/bib/bbz038
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A feature-based approach to predict hot spots in protein–DNA binding interfaces.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1038, doi. 10.1093/bib/bbz037
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Genome-wide identification and analysis of the eQTL lncRNAs in multiple sclerosis based on RNA-seq data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1023, doi. 10.1093/bib/bbz036
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Molecular Biology Information Service: an innovative medical library-based bioinformatics support service for biomedical researchers.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 876, doi. 10.1093/bib/bbz035
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Identifying psychiatric disorder-associated gut microbiota using microbiota-related gene set enrichment analysis.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1016, doi. 10.1093/bib/bbz034
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In silico signaling modeling to understand cancer pathways and treatment responses.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1115, doi. 10.1093/bib/bbz033
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MicroRNAs and nervous system diseases: network insights and computational challenges.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 863, doi. 10.1093/bib/bbz032
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Comparison of haplotype-based tests for detecting gene–environment interactions with rare variants.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 851, doi. 10.1093/bib/bbz031
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Shaping the nebulous enhancer in the era of high-throughput assays and genome editing.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 836, doi. 10.1093/bib/bbz030
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Integration of network models and evolutionary analysis into high-throughput modeling of protein dynamics and allosteric regulation: theory, tools and applications.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 815, doi. 10.1093/bib/bbz029
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Comparing enrichment analysis and machine learning for identifying gene properties that discriminate between gene classes.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 803, doi. 10.1093/bib/bbz028
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Platform-independent approach for cancer detection from gene expression profiles of peripheral blood cells.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1006, doi. 10.1093/bib/bbz027
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Validation strategies for target prediction methods.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 791, doi. 10.1093/bib/bbz026
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Assessment of metagenomic assemblers based on hybrid reads of real and simulated metagenomic sequences.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 777, doi. 10.1093/bib/bbz025
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Evaluation of drug efficacy based on the spatial position comparison of drug–target interaction centers.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 762, doi. 10.1093/bib/bbz024
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Optimal selection of genetic variants for adjustment of population stratification in European association studies.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 753, doi. 10.1093/bib/bbz023
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Meta-GDBP: a high-level stacked regression model to improve anticancer drug response prediction.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 996, doi. 10.1093/bib/bbz022
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Corrigendum to: Comprehensive and critical evaluation of individualized pathway activity measurement tools on pan-cancer data.
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- Briefings in Bioinformatics, 2020, v. 21, n. 3, p. 1118, doi. 10.1093/bib/bby125
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- Article