Results 1 to 10 of about 2,460,413 (374)
DADA2: High-resolution sample inference from Illumina amplicon data
We present the open-source software package DADA2 for modeling and correcting Illumina-sequenced amplicon errors (https://github.com/benjjneb/dada2). DADA2 infers sample sequences exactly and resolves differences of as little as 1 nucleotide.
Benjamin J Callahan +2 more
exaly +2 more sources
MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest
Fredrik Ronquist +2 more
exaly +2 more sources
MRBAYES: Bayesian inference of phylogenetic trees
John P Huelsenbeck, Fredrik Ronquist
exaly +2 more sources
Simultaneous Inference in General Parametric Models
Torsten Hothorn, Frank Bretz
exaly +2 more sources
Evaluating vaccine allocation strategies using simulation-assisted causal modeling
Summary: We develop a model to retrospectively evaluate age-dependent counterfactual vaccine allocation strategies against the coronavirus disease 2019 (COVID-19) pandemic.
Armin Kekić +5 more
doaj +1 more source
Representation of color, form, and their conjunction across the human ventral visual pathway
Despite decades of research, our understanding of the relationship between color and form processing in the primate ventral visual pathway remains incomplete.
JohnMark Taylor, Yaoda Xu
doaj +1 more source
Epigenetic modifications are dynamic mechanisms involved in the regulation of gene expression. Unlike the DNA sequence, epigenetic patterns vary not only between individuals, but also between different cell types within an individual.
Alex Hawkins-Hooker +5 more
doaj +1 more source
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference [PDF]
This paper introduces the Multi-Genre Natural Language Inference (MultiNLI) corpus, a dataset designed for use in the development and evaluation of machine learning models for sentence understanding.
Adina Williams +2 more
semanticscholar +1 more source
Variational Inference: A Review for Statisticians [PDF]
One of the core problems of modern statistics is to approximate difficult-to-compute probability densities. This problem is especially important in Bayesian statistics, which frames all inference about unknown quantities as a calculation involving the ...
D. Blei, A. Kucukelbir, Jon D. McAuliffe
semanticscholar +1 more source
A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions
Measurement(s) tumor lesions Technology Type(s) PET/CT Sample Characteristic - Organism Homo ...
Sergios Gatidis +9 more
doaj +1 more source

