Results 81 to 90 of about 3,994,856 (300)

Landscape of BRAF transcript variants in human cancer

open access: yesMolecular Oncology, EarlyView.
We investigate the annotation of BRAF variants, focusing on protein‐coding BRAF‐220 (formerly BRAF‐reference) and BRAF‐204 (BRAF‐X1). The IsoWorm pipeline allows us to quantify these variants in human cancer, starting from RNA‐sequencing data. BRAF‐204 is more abundant than BRAF‐220 and impacts patient survival.
Maurizio S. Podda   +5 more
wiley   +1 more source

A Toolbox for Record Linkage

open access: yesAustrian Journal of Statistics, 2016
We developed a record-linkage toolbox in order to compare the performance of various string-similarity measures for German surnames. This ”Matching Tool-Box” (MTB) is made up by independent, highly portable JAVA-programs.
Rainer Schnell   +2 more
doaj   +1 more source

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

open access: yesMolecular Oncology, EarlyView.
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton   +17 more
wiley   +1 more source

A nucleotide‐independent, pan‐RAS‐targeted DARPin elicits anti‐tumor activity in a multimodal manner

open access: yesMolecular Oncology, EarlyView.
We report a Designed Ankyrin Repeat Protein that binds and inhibits RAS proteins, which serve as central cell signaling hubs and are essential for the progression of many cancers. Its unique feature is that it does not discriminate between different RAS isoforms or mutations and is capable of binding to RAS in both its active (GTP‐bound) and inactive ...
Jonas N. Kapp   +13 more
wiley   +1 more source

Bayesian Estimation of Bipartite Matchings for Record Linkage [PDF]

open access: yes, 2016
The bipartite record linkage task consists of merging two disparate datafiles containing information on two overlapping sets of entities. This is nontrivial in the absence of unique identifiers and it is important for a wide variety of applications given
Mauricio Sadinle
semanticscholar   +1 more source

EMT‐associated bias in the Parsortix® system observed with pancreatic cancer cell lines

open access: yesMolecular Oncology, EarlyView.
The Parsortix® system was tested for CTC enrichment using pancreatic cancer cell lines with different EMT phenotypes. Spike‐in experiments showed lower recovery of mesenchymal‐like cells. This was confirmed with an EMT‐inducible breast cancer cell line.
Nele Vandenbussche   +8 more
wiley   +1 more source

Privacy preserving linkage using multiple dynamic match keys

open access: yesInternational Journal of Population Data Science, 2019
Introduction Available and practical methods for privacy preserving linkage have shortcomings: methods utilising anonymous linkage codes provide limited accuracy while methods based on Bloom filters have proven vulnerable to frequency-based attacks ...
Sean Randall   +3 more
doaj   +1 more source

Maximum Entropy classification for record linkage

open access: yes, 2020
Maximum entropy classification for record ...
Lee, Danhyang   +2 more
openaire   +6 more sources

A DIA‐MS‐based proteomics approach to find potential serum prognostic biomarkers in glioblastoma patients

open access: yesMolecular Oncology, EarlyView.
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul   +11 more
wiley   +1 more source

Privacy-preserving record linkage in large databases using secure multiparty computation

open access: yesBMC Medical Genomics, 2018
Practical applications for data analysis may require combining multiple databases belonging to different owners, such as health centers. The analysis should be performed without violating privacy of neither the centers themselves, nor the patients whose ...
Peeter Laud, A. Pankova
semanticscholar   +1 more source

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