Preprints (not yet peer-reviewed)

5 downloads
73 views

We studied the effect of linearization on the repeatability of the Tofts and reference region models (RRM) for Dynamic Contrast-Enhanced MRI (DCE MRI). We compared the repeatabilities of these two linearized models, the standard non-linear version, and semi-quantitative...

["Mathematical Biology","Radiology and Medical Imaging","Statistics"]
doi:10.7287/peerj.preprints.2824v1
22 downloads
234 views

Marker gene sequencing of microbial communities has generated big datasets of microbial relative abundances varying across environmental conditions, sample sites and treatments. These data often come with putative phylogenies, providing unique opportunities to...

["Computational Biology","Ecology","Mathematical Biology","Microbiology","Statistics"]
doi:10.7287/peerj.preprints.2685v1
87 downloads
394 views

Wildlife collision data are ubiquitous, though challenging for making ecological inference due to typically irreducible uncertainty relating to the sampling process. We illustrate a new approach that is useful for generating inference from predator data arising...

["Conservation Biology","Ecology","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.2572v1
96 downloads
172 views

‘Big Data’ and a surge in quantitative methodologies increasingly urge bioresearchers to train and improve their mathematical and computational skills. In response to this challenge the Biotechnology and Biological Sciences Research Council in the United Kingdom...

["Computational Biology","Mathematical Biology","Science and Medical Education","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.2523v1
31 downloads
239 views

Complex physiological dynamics have been argued to be a signature of healthy physiological function. Here we test whether the complexity of metabolic rate fluctuations in small endotherms decreases with lower environmental temperatures. To do so we examine the...

["Computational Biology","Ecology","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.2404v1
51 downloads
180 views

Estimation of natural selection on protein-coding sequences is a key comparative genomics approach for de novo prediction of lineage specific adaptations. Selective pressure is measured on a per-gene basis by comparing the rate of non-synonymous substitutions to...

["Bioinformatics","Computational Biology","Evolutionary Studies","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.2218v1
32 downloads
155 views

Background. In the early and late stages of cell reprogramming to induced pluripotent stem cells (iPSCs) ectopic expression of Oct4, Sox2, Klf4 and Myc (OSKM) aroused two peaks of transcriptional and epigenetic change respectively. However, it was relatively quiet...

["Bioinformatics","Cell Biology","Mathematical Biology","Molecular Biology","Statistics"]
doi:10.7287/peerj.preprints.1991v1
246 downloads
211 views

Bayesian statistics, in contrast to classical statistics, uses probability to represent uncertainty about the state of knowledge. Bayesian statistics has often been associated with the idea that knowledge is subjective and that a probability distribution represents...

["Conservation Biology","Ecology","Mathematical Biology","Science Policy","Statistics"]
doi:10.7287/peerj.preprints.1755v1
164 downloads
109 views

Length of hospital stay (LOS) is of primary importance in health services research because it is directly related to health care management and cost of health care. In some epidemiological settings the actual length of stay is not directly observed but it is known...

["Mathematical Biology","Epidemiology","Infectious Diseases","Public Health","Statistics"]
doi:10.7287/peerj.preprints.1663v1
39 downloads
141 views

The conservation and management of wild populations and ecosystems almost always involves making decisions in the face of uncertainty and risk. The application of science to the ecological decision-making process was something that the late Professor Daniel Goodman...

["Conservation Biology","Ecology","Mathematical Biology","Science Policy","Statistics"]
doi:10.7287/peerj.preprints.1583v1
555 downloads
490 views

Mathematical models are frequently used to assess the impact of control interventions for Chlamydia trachomatis and other sexually transmitted infections (STIs). Modeling approaches that stratify the population by the number of sex partners often assume the transmission...

["Computational Biology","Mathematical Biology","Epidemiology","Infectious Diseases","Statistics"]
doi:10.7287/peerj.preprints.940v2
98 downloads
201 views

The conserved nature of sleep in Drosophila has allowed the fruit fly to emerge in the last decade as a powerful model organism in which to study sleep. Recent sleep studies in Drosophila have focused on the discovery and characterization of hyposomnolent mutants....

["Animal Behavior","Entomology","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.1408v1
144 downloads
354 views

In biological mass spectrometry, crude instrumental data need to be converted into meaningful theoretical models. Several data processing and data evaluation steps are required to come to the final results. These operations are often difficult to reproduce, because...

["Bioinformatics","Biophysics","Computational Biology","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.1359v1
374 downloads
315 views

Estimating and comparing microbial diversity are statistically challenging due to limited sampling and possible sequencing errors for low-frequency counts, producing spurious singletons. The inflated singleton count seriously affects statistical analysis and inferences...

["Biodiversity","Ecology","Mathematical Biology","Microbiology","Statistics"]
doi:10.7287/peerj.preprints.1353v1
111 downloads
330 views

Importance sampling is widely used in coalescent theory to compute data likelihood. Efficient importance sampling requires a trial distribution close to the target distribution of the genealogies conditioned on the data. Moreover, an efficient proposal requires...

["Computational Biology","Genetics","Mathematical Biology","Science Policy","Statistics"]
doi:10.7287/peerj.preprints.395v1
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