Found: 18
Select item for more details and to access through your institution.
Exploiting aberrant mRNA expression in autism for gene discovery and diagnosis.
- Published in:
- Human Genetics, 2016, v. 135, n. 7, p. 797, doi. 10.1007/s00439-016-1673-7
- By:
- Publication type:
- Article
An analytical method for the identification of cell type-specific disease gene modules.
- Published in:
- 2021
- By:
- Publication type:
- journal article
Genome-wide characterization of intergenic polyadenylation sites redefines gene spaces in Arabidopsis thaliana.
- Published in:
- BMC Genomics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12864-015-1691-1
- By:
- Publication type:
- Article
Genome-wide characterization of intergenic polyadenylation sites redefines gene spaces in Arabidopsis thaliana.
- Published in:
- BMC Genomics, 2015, v. 16, n. 1, p. 1, doi. 10.1186/s12864-015-1691-1
- By:
- Publication type:
- Article
Aging Shapes the Population-Mean and -Dispersion of Gene Expression in Human Brains.
- Published in:
- Frontiers in Aging Neuroscience, 2016, p. 1, doi. 10.3389/fnagi.2016.00183
- By:
- Publication type:
- Article
Shared and Cell-Type-Specific Gene Expression Patterns Associated With Autism Revealed by Integrative Regularized Non-Negative Matrix Factorization.
- Published in:
- Frontiers in Genetics, 2022, v. 13, p. 1, doi. 10.3389/fgene.2022.865371
- By:
- Publication type:
- Article
SFINN: inferring gene regulatory network from single-cell and spatial transcriptomic data with shared factor neighborhood and integrated neural network.
- Published in:
- Bioinformatics, 2024, v. 40, n. 7, p. 1, doi. 10.1093/bioinformatics/btae433
- By:
- Publication type:
- Article
AEGS: identifying aberrantly expressed gene sets for differential variability analysis.
- Published in:
- Bioinformatics, 2018, v. 34, n. 5, p. 881, doi. 10.1093/bioinformatics/btx646
- By:
- Publication type:
- Article
Gene Module Analysis Reveals Cell-Type Specificity and Potential Target Genes in Autism's Pathogenesis.
- Published in:
- Biomedicines, 2021, v. 9, n. 4, p. 410, doi. 10.3390/biomedicines9040410
- By:
- Publication type:
- Article
SRGS: sparse partial least squares-based recursive gene selection for gene regulatory network inference.
- Published in:
- BMC Genomics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12864-022-09020-7
- By:
- Publication type:
- Article
Deconvolution from bulk gene expression by leveraging sample-wise and gene-wise similarities and single-cell RNA-Seq data.
- Published in:
- BMC Genomics, 2024, v. 25, n. 1, p. 1, doi. 10.1186/s12864-024-10728-x
- By:
- Publication type:
- Article
Single-nucleus gene and gene set expression-based similarity network fusion identifies autism molecular subtypes.
- Published in:
- BMC Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12859-023-05278-0
- By:
- Publication type:
- Article
Commonality in dysregulated expression of gene sets in cortical brains of individuals with autism, schizophrenia, and bipolar disorder.
- Published in:
- Translational Psychiatry, 2019, v. 9, n. 1, p. N.PAG, doi. 10.1038/s41398-019-0488-4
- By:
- Publication type:
- Article
Cell Type-Specific Predictive Models Perform Prioritization of Genes and Gene Sets Associated With Autism.
- Published in:
- Frontiers in Genetics, 2021, v. 11, p. N.PAG, doi. 10.3389/fgene.2020.628539
- By:
- Publication type:
- Article
scINRB: single-cell gene expression imputation with network regularization and bulk RNA-seq data.
- Published in:
- Briefings in Bioinformatics, 2024, v. 25, n. 3, p. 1, doi. 10.1093/bib/bbae148
- By:
- Publication type:
- Article
scIAE: an integrative autoencoder-based ensemble classification framework for single-cell RNA-seq data.
- Published in:
- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab508
- By:
- Publication type:
- Article
Genome-wide identification and predictive modeling of polyadenylation sites in eukaryotes.
- Published in:
- Briefings in Bioinformatics, 2015, v. 16, n. 2, p. 304, doi. 10.1093/bib/bbu011
- By:
- Publication type:
- Article
Cell Type-Specific Gene Network-Based Analysis Depicts the Heterogeneity of Autism Spectrum Disorder.
- Published in:
- Frontiers in Cellular Neuroscience, 2020, p. 1, doi. 10.3389/fncel.2020.00059
- By:
- Publication type:
- Article