Multimeric Threading-Based Prediction of Protein–Protein Interactions on a Genomic Scale: Application to the Saccharomyces cerevisiae Proteome [PDF]
Long Lu+3 more
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Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts+8 more
wiley +1 more source
An integrative genomic and proteomic approach to chemosensitivity prediction
Guo
openalex +2 more sources
A multivariate analysis of genomic polymorphisms: prediction of clinical outcome to 5-FU/oxaliplatin combination chemotherapy in refractory colorectal cancer [PDF]
Jan Stoehlmacher+6 more
openalex +1 more source
We evaluated circulating tumor DNA (ctDNA) detection in advanced pancreatic cancer using DNA methylation, cell‐free DNA fragment lengths, and 5′ end motifs. Machine learning models were trained to estimate ctDNA levels from each feature and their combination.
Morten Lapin+10 more
wiley +1 more source
Bayesian nonparametric estimators derived from conditional Gibbs structures [PDF]
We consider discrete nonparametric priors which induce Gibbs-type exchangeable random partitions and investigate their posterior behavior in detail.
Antonio Lijoi+2 more
core
A bioinformatics screen identifies TCF19 as an aggressiveness‐sustaining gene in prostate cancer
Gene expression meta‐analysis in multiple prostate cancer patient cohorts identifies Transcription factor 19 (TCF19) as an aggressiveness‐sustaining gene with prognostic potential. TCF19 is a gene repressed by androgen signaling that sustains core cancer‐related processes such as vascular permeability or tumor growth and metastasis.
Amaia Ercilla+15 more
wiley +1 more source
Gene expression signature-based chemical genomic prediction identifies a novel class of HSP90 pathway modulators [PDF]
Haley Hieronymus+14 more
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Using multi‐omic characterization, we aimed to identify key regulators specific to squamous cell lung carcinoma (SqCC). SqCC‐specific differentially expressed genes were integrated with metabolics data. High expression of the creatine transporter SLC6A8, along with elevated creatine levels, appeared to be a distinct metabolic feature of SqCC.
Johan Staaf+10 more
wiley +1 more source
AUGUSTUS at EGASP: using EST, protein and genomic alignments for improved gene prediction in the human genome. [PDF]
Mario Stanke+2 more
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