- Home
- breast comparison
- Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
4.5 (653) · $ 10.50 · In stock
Comparing transcriptomic profiles from seven cell lines to elucidate liver metastatic potential - ScienceDirect
TC analysis between MET500 breast cancer samples and CCLE breast
Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes
Imputation of single-cell transcriptome data enables the reconstruction of networks predictive of breast cancer metastasis - Computational and Structural Biotechnology Journal
Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types
IJMS, Free Full-Text
Benchmarking causal reasoning algorithms for gene expression-based
PreCanCell: An ensemble learning algorithm for predicting cancer and non-cancer cells from single-cell transcriptomes - Computational and Structural Biotechnology Journal
Evaluating cell lines as models for metastatic cancer through
Comparison of genomic profiles between MET500 breast cancer
Cells, Free Full-Text
PDF) Finding the best cell lines across pan-cancer to use in pre
Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types
PDF) Integrative analysis of gene expression and methylation data for breast cancer cell lines
Differential reprogramming of breast cancer subtypes in 3D
