Results 31 to 40 of about 3,447,982 (286)
Detecting mutations in mixed sample sequencing data using empirical Bayes [PDF]
We develop statistically based methods to detect single nucleotide DNA mutations in next generation sequencing data. Sequencing generates counts of the number of times each base was observed at hundreds of thousands to billions of genome positions in ...
Bell, John +4 more
core +3 more sources
MarkerMiner 1.0: a new application for phylogenetic marker development using angiosperm transcriptomes [PDF]
Premise of the study: Targeted sequencing using next-generation sequencing (NGS) platforms offers enormous potential for plant systematics by enabling economical acquisition of multilocus data sets that can resolve difficult phylogenetic problems ...
Berbazuk, W Brad +8 more
core +3 more sources
BackgroundDevelopment of cancer treatments such as antibody-based therapy relies on several factors across the drug-target axis, including the specificity of target expression and characterization of downstream signaling pathways.
Indu Khatri +7 more
doaj +1 more source
Discovery of documents, data sources, facts, and opinions is at the very heart of digital information and knowledge services. Being able to search, discover, compile, and analyse relevant information for a user’s specific tasks is of utmost importance in science (e.g., computational life sciences, digital humanities, etc.), business (e.g., market and ...
openaire +3 more sources
Asymptotic minimaxity of False Discovery Rate thresholding for sparse exponential data [PDF]
We apply FDR thresholding to a non-Gaussian vector whose coordinates X_i, i=1,..., n, are independent exponential with individual means $\mu_i$. The vector $\mu =(\mu_i)$ is thought to be sparse, with most coordinates 1 but a small fraction significantly
Donoho, David, Jin, Jiashun
core +2 more sources
ABSTRACT Purpose Retinoblastoma (RB) is the most common pediatric ocular cancer, yet population‐based data on survival and risk factors remain limited. This study aimed to describe survival in a large national RB cohort and identify predictors of death and complications.
Samuel Sassine +14 more
wiley +1 more source
Mapping global public perspectives on mRNA vaccines and therapeutics
The development and rollout of mRNA vaccines during COVID-19 marked a significant advancement in vaccinology, yet public hesitation to vaccination was prevalent, indicating the potential risk that future mRNA-based medical innovations will fail to be ...
Jiaxiang Xu +4 more
doaj +1 more source
Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning
Summary: Whole genome sequencing of bacteria is important to enable strain classification. Using entire genomes as an input to machine learning (ML) models would allow rapid classification of strains while using information from multiple genetic elements.
Marco Podda +9 more
doaj +1 more source
Research Data Discovery Service Final Report [PDF]
A project report that outlines the University of Glasgow's participation in the UK Research Data Discovery Project funded by Jisc from March 2015 to September ...
Eadie, Michael, McCutcheon, Valerie
core
ABSTRACT Background and Aims Wilms tumour (WT) has excellent event‐free and overall survival (OS). However, small differences exist between countries participating in the same international study. This led us to examine variation in adherence to protocol recommendations as a potential contributing factor.
Suzanne Tugnait +23 more
wiley +1 more source

