[HTML][HTML] Next-generation machine learning for biological networks
Machine learning, a collection of data-analytical techniques aimed at building predictive
models from multi-dimensional datasets, is becoming integral to modern biological research …
models from multi-dimensional datasets, is becoming integral to modern biological research …
Glioblastoma stem cells: driving resilience through chaos
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 …
(GSCs) are at the apex of an entropic hierarchy and impart devastating therapy resistance …
Challenges for assessing replicability in preclinical cancer biology
TM Errington, A Denis, N Perfito, E Iorns, BA Nosek - Elife, 2021 - elifesciences.org
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 …
preclinical research in cancer biology. The initial aim of the project was to repeat 193 …
[HTML][HTML] Interactions between cancer cells and immune cells drive transitions to mesenchymal-like states in glioblastoma
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 …
intrinsic alterations and extrinsic cellular interactions, but remains poorly understood. Here …
[HTML][HTML] Single-cell protein activity analysis identifies recurrence-associated renal tumor macrophages
Clear cell renal carcinoma (ccRCC) is a heterogeneous disease with a variable post-
surgical course. To assemble a comprehensive ccRCC tumor microenvironment (TME) …
surgical course. To assemble a comprehensive ccRCC tumor microenvironment (TME) …
Glioblastomas acquire myeloid-affiliated transcriptional programs via epigenetic immunoediting to elicit immune evasion
Glioblastoma multiforme (GBM) is an aggressive brain tumor for which current
immunotherapy approaches have been unsuccessful. Here, we explore the mechanisms …
immunotherapy approaches have been unsuccessful. Here, we explore the mechanisms …
Benchmark and integration of resources for the estimation of human transcription factor activities
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 …
(ie, TF regulon) is becoming a widely used approach to characterize the functional status of …
Epidermal growth factor receptor and EGFRvIII in glioblastoma: signaling pathways and targeted therapies
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 …
occurs frequently in glioblastoma (GBM). While EGFR and EGFRvIII play critical roles in …
Functional characterization of somatic mutations in cancer using network-based inference of protein activity
Identifying the multiple dysregulated oncoproteins that contribute to tumorigenesis in a given
patient is crucial for develo** personalized treatment plans. However, accurate inference …
patient is crucial for develo** personalized treatment plans. However, accurate inference …
Tumor cell invasion in glioblastoma
A Vollmann-Zwerenz, V Leidgens, G Feliciello… - International journal of …, 2020 - mdpi.com
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 …
months. Recent research has revealed novel insights into the outstanding heterogeneity of …