63 results on '"RNA sequencing -- Models -- Analysis"'
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2. BulkRNABert: Cancer prognosis from bulk RNA-seq based language models (Updated June 27, 2024)
3. miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA level differential expression and uncovers variable differential expression between isomiRs
4. A rule-based multiscale model of hepatic stellate cell plasticity: critical role of the inactivation loop in fibrosis progression
5. scChat: A Large Language Model-Powered Co-Pilot for Contextualized Single-Cell RNA Sequencing Analysis (Updated October 6, 2024)
6. Studies from University of California Los Angeles (UCLA) Have Provided New Information about Computational Biology (Binomial Models Uncover Biological Variation During Feature Selection of Droplet-based Single-cell Rna Sequencing)
7. Joint Modeling of Cellular Heterogeneity and Condition Effects with scPCA in Single-Cell RNA-Seq (Updated September 25, 2024)
8. Mouse-Geneformer: A Deep Learning Model for Mouse Single-Cell Transcriptome and Its Cross-Species Utility
9. Scupa: Single-cell unified polarization assessment of immune cells using the single-cell foundation model
10. miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs (Updated July 18, 2024)
11. Single-nucleus RNA sequencing reveals cellular and molecular dynamics of white and brown adipose tissue in a mouse model of type-2 diabetes (Updated May 30, 2024)
12. A Personalized Metabolic Modelling Approach through Integrated Analysis of RNA-Seq-Based Genomic Variants and Gene Expression Levels in Alzheimer's Disease
13. Group Heteroscedasticity - A Silent Saboteur of Power and False Discovery in RNA-Seq Differential Expression
14. Subcellular mRNA kinetic modeling reveals nuclear retention as rate-limiting
15. Comprehensive analysis of long non-coding RNAs in breast cancer using topic modeling
16. Single-nucleus RNA sequencing reveals cellular and molecular dynamics of white and brown adipose tissue in a mouse model of type-2 diabetes
17. scGND: Graph neural diffusion model enhances single-cell RNA-seq analysis
18. Generation and analysis of context-specific genome-scale metabolic models derived from single-cell RNA-Seq data
19. Single-nucleus RNA sequencing provides insights into the GL261-GSC syngeneic mouse model of glioblastoma
20. ST-Assign: a probabilistic model for joint cell type identification in spatial transcriptomics and single-cell RNA sequencing data (Updated October 26, 2023)
21. M1 Macrophage-Related Genes Model for NSCLC Immunotherapy Response Prediction
22. A Deep Dive into Single-Cell RNA Sequencing Foundation Models
23. Incorporating extrinsic noise into mechanistic modelling of single-cell transcriptomics
24. RNA-binding protein PSPC1 promotes the differentiation-dependent nuclear export of adipocyte RNAs
25. ST-Assign: a probabilistic model for joint cell type identification in spatial transcriptomics and single-cell RNA sequencing data
26. Ordinary differential equations to construct invertible generative models of cell type and tissue-specific regulatory networks
27. Perform The 5%prime Single Cell Rna Sequencing On The Rna Samples Isolated From Mouse Lung Cancer Model
28. Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data (Updated May 2, 2023)
29. BEERS2: RNA-Seq simulation through high fidelity in silico modeling
30. Dysregulation of Prefrontal Oligodendrocyte Lineage Cells Across Mouse Models of Adversity and Human Major Depressive Disorder
31. A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data
32. Data on Bioinformatics Reported by Researchers at Ohio State University (Power analysis for RNA-Seq differential expression studies using generalized linear mixed effects models)
33. GRN-VAE: A Simplified and Stabilized SEM Model for Gene Regulatory Network Inference
34. Mechanistic modeling with a variational autoencoder for multimodal single-cell RNA sequencing data
35. A Unified Probabilistic Modeling Framework for Eukaryotic Transcription Based on Nascent RNA Sequencing Data (Updated October 27, 2022)
36. clrDV: A differential variability test for RNA-Seqdata based on the skew-normal distribution
37. Optimization and redevelopment of single-cell data analysis workflow based on deep generative models
38. Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics
39. Single-cell RNA sequencing reveals dysregulation of spinal cord cell types in a severe spinal muscular atrophy mouse model (Updated June 5, 2022)
40. Single-cell RNA sequencing reveals dysregulation of spinal cord cell types in a several spinal muscular atrophy mouse model
41. A Unified Probabilistic Modeling Framework for Eukaryotic Transcription Based on Nascent RNA Sequencing Data (Updated June 1, 2022)
42. ResPAN: a powerful batch correction model forscRNA-seq data through residual adversarialnetworks (Updated May 19, 2022)
43. N-ACT: An Interpretable Deep Learning Model for Automatic Cell Type and Salient Gene Identification
44. Cytopath: Simulation based inference of differentiation trajectories from RNA velocity fields (Updated May 3, 2022)
45. Cellular stress in brain organoids is limited to a distinct and bioinformatically removable subpopulation
46. A Unified Probabilistic Modeling Framework for Eukaryotic Transcription Based on Nascent RNA Sequencing Data (Updated March 9, 2022)
47. Mouse models of COVID-19 recapitulate inflammatory pathways rather than gene expression
48. Spatially Resolved Transcriptomics for Evaluation of Intracranial Vessels in a Rabbit Model: Proof of Concept
49. Findings in Optic Nerve Injury Reported from University of Wisconsin (Meta-analysis of transcriptomic changes in optic nerve injury and neurodegenerative models reveals a fundamental response to injury throughout the central nervous system)
50. Probabilistic modeling of ambient noise in single-cell omics data (Updated January 17, 2022)
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