Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data

Metastatic profiling of HER2-positive breast cancer cell lines in xenograft models

A metastasis map of human cancer cell lines

Computational estimation of quality and clinical relevance of

Lipidomic study of cell lines reveals differences between breast

Evaluating cell lines as tumour models by comparison of genomic

Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes

Comparing CCLE breast cancer cell lines with patient-derived

Regulation of Collective Metastasis by Nanolumenal Signaling

Regulation of Collective Metastasis by Nanolumenal Signaling

Cancers, Free Full-Text

Imputation of single-cell transcriptome data enables the reconstruction of networks predictive of breast cancer metastasis - Computational and Structural Biotechnology Journal

PreCanCell: An ensemble learning algorithm for predicting cancer and non-cancer cells from single-cell transcriptomes - Computational and Structural Biotechnology Journal