datasets cohort

Aliases

243 datasets, datasets included in our study, two datasets

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Mentioned in (13)

Papers in which this entity is mentioned.

• Principal Component Analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated. (2022)
• The Data Use Ontology to streamline responsible access to human biomedical datasets. (2021)
• Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes. (2021)
• BioBERT: a pre-trained biomedical language representation model for biomedical text mining. (2020)
• FQSqueezer: k-mer-based compression of sequencing data. (2020)
• A fast detection of fusion genes from paired-end RNA-seq data. (2018)
• Genome-wide somatic variant calling using localized colored de Bruijn graphs. (2018)
• Robust prediction of response to immune checkpoint blockade therapy in metastatic melanoma. (2018)
• Sensitivity to sequencing depth in single-cell cancer genomics. (2018)
• Universal Patterns of Selection in Cancer and Somatic Tissues. (2017)
• Handling changes in MRI acquisition parameters in modeling whole brain lesion volume and atrophy data in multiple sclerosis subjects: Comparison of linear mixed-effect models. (2015)
• Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data. (2015)
• Absolute quantification of somatic DNA alterations in human cancer. (2012)

Merged raw entities (5)

All extracted name/type variants the normalize job merged into this entity. Use this to spot wrong merges, or aliases that should be split off.