Machine learning, a collection of data-analytical techniques aimed at building predictive
models from multi-dimensional datasets, is becoming integral to modern biological research …

Glioblastoma is an aggressive and heterogeneous tumor in which glioblastoma stem cells
(GSCs) are at the apex of an entropic hierarchy and impart devastating therapy resistance …

We conducted the Reproducibility Project: Cancer Biology to investigate the replicability of
preclinical research in cancer biology. The initial aim of the project was to repeat 193 …

The mesenchymal subtype of glioblastoma is thought to be determined by both cancer cell-
intrinsic alterations and extrinsic cellular interactions, but remains poorly understood. Here …

Clear cell renal carcinoma (ccRCC) is a heterogeneous disease with a variable post-
surgical course. To assemble a comprehensive ccRCC tumor microenvironment (TME) …

Glioblastoma multiforme (GBM) is an aggressive brain tumor for which current
immunotherapy approaches have been unsuccessful. Here, we explore the mechanisms …

The prediction of transcription factor (TF) activities from the gene expression of their targets
(ie, TF regulon) is becoming a widely used approach to characterize the functional status of …

Amplification of epidermal growth factor receptor (EGFR) and its active mutant EGFRvIII
occurs frequently in glioblastoma (GBM). While EGFR and EGFRvIII play critical roles in …

Identifying the multiple dysregulated oncoproteins that contribute to tumorigenesis in a given
patient is crucial for developing personalized treatment plans. However, accurate inference …

Glioblastoma (GBM) is a particularly devastating tumor with a median survival of about 16
months. Recent research has revealed novel insights into the outstanding heterogeneity of …