Pages that link to "Q64122639"
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The following pages link to Enter the Matrix: Factorization Uncovers Knowledge from Omics (Q64122639):
Displaying 15 items.
- MultiPLIER: A Transfer Learning Framework for Transcriptomics Reveals Systemic Features of Rare Disease (Q64039237) (← links)
- Childhood Trauma in Schizophrenia: Current Findings and Research Perspectives (Q64065371) (← links)
- Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species (Q64108372) (← links)
- Identifying gene expression programs of cell-type identity and cellular activity with single-cell RNA-Seq (Q83231039) (← links)
- Unified single-cell analysis of testis gene regulation and pathology in five mouse strains (Q83231314) (← links)
- Independent Component Analysis for Unraveling the Complexity of Cancer Omics Datasets (Q89996137) (← links)
- DeepMF: deciphering the latent patterns in omics profiles with a deep learning method (Q92282969) (← links)
- Assessing reproducibility of matrix factorization methods in independent transcriptomes (Q92784087) (← links)
- MOGSA: Integrative Single Sample Gene-set Analysis of Multiple Omics Data (Q93051479) (← links)
- Molecular Inverse Comorbidity between Alzheimer's Disease and Lung Cancer: New Insights from Matrix Factorization (Q93080626) (← links)
- Impact of Data Preprocessing on Integrative Matrix Factorization of Single Cell Data (Q97527010) (← links)
- Integrative Network Fusion: A Multi-Omics Approach in Molecular Profiling (Q97885888) (← links)
- Index and biological spectrum of human DNase I hypersensitive sites (Q98164580) (← links)
- Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants (Q98937063) (← links)
- A multiresolution framework to characterize single-cell state landscapes (Q101237303) (← links)