Preprints (not yet peer-reviewed)

635 downloads
562 views

Motivation: The third generation sequencing (3GS) technology generates long sequences of thousands of bases. However, its error rates are estimated in the range of 15-40%, much higher than the previous generation (approximately 1%). Fundamental tasks such as genome...

["Bioinformatics","Biotechnology","Computational Biology","Genomics","Computational Science"]
doi:10.7287/peerj.preprints.1401v1
472 downloads
435 views

Smallholder farms dominate in many parts of the world, particularly Sub-Saharan Africa. These systems are characterized by small, heterogeneous, and often indistinct field patterns, requiring a specialized methodology to map agricultural land cover. Using a variety...

["Agricultural Science","Environmental Sciences","Human-Computer Interaction","Computational Science"]
doi:10.7287/peerj.preprints.1367v1
288 downloads
430 views

Computational modelling of cardiac cellular electrophysiology has a long history, with many models now available for different species, cell types, and experimental preparations. This success brings with it a challenge: how do we assess and compare the underlying...

["Biophysics","Computational Biology","Cardiology","Computational Science"]
doi:10.7287/peerj.preprints.1338v1
474 downloads
588 views

Retrieving the hemodynamic response function (HRF) in fMRI data is important for several reasons. Apart from its use as a physiological biomarker, HRF can act as a confounder in connectivity studies. In task-based fMRI is relatively straightforward to retrieve...

["Neuroscience","Computational Science"]
doi:10.7287/peerj.preprints.1317v1
182 downloads
264 views

Objective. To explore whether the image noises and the metal artifacts could be further managed by the combined use of two technologies, the adaptive statistical iterative reconstruction (ASIR) and the monochromatic imaging generated by gemstone spectral imaging...

["Orthopedics","Radiology and Medical Imaging","Computational Science"]
doi:10.7287/peerj.preprints.1306v1
58 downloads
383 views

In personalized medicine, one major goal is the identification of yet unknown patient subgroups with specific gene or protein expression. Different subgroups can indicate different molecular subtypes of a disease. These subtypes might correlate with disease progression,...

["Bioinformatics","Computational Biology","Molecular Biology","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.1305v1
549 downloads
591 views

High-throughput data, for instance ChIP-seq data, measure binding of transcription factors (TFs) or other proteins to DNA and have become a widespread data source for de-novo motif discovery. Often, several ChIP-seq data sets study the same TF under different conditions...

["Bioinformatics","Computational Biology","Molecular Biology","Computational Science"]
doi:10.7287/peerj.preprints.1302v1
178 downloads
461 views

Ion mobility spectrometry (IMS) is a technology for the detection of volatile compounds in the air of exhaled breath that is increasingly used in medical applications. One major goal is to classify patients into disease groups, for example diseased versus healthy,...

["Bioinformatics","Respiratory Medicine","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.1294v1
457 downloads
448 views

Studying the evolutionary history of life’s molecules - DNA, RNA, and protein - reveals nature-based solutions to real-world problems. We discuss an approach to applied molecular evolution that is well-known within the field but may be unfamiliar to a wider audience....

["Biochemistry","Bioinformatics","Computational Biology","Evolutionary Studies","Computational Science"]
doi:10.7287/peerj.preprints.1293v1
91 downloads
257 views

Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves...

["Science Policy","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.952v3
61 downloads
186 views

Counterintuitively, unstable control systems can allow extremely rapid responses that may be strongly selected by evolutionary process. Application of an information bottleneck iteration to the Data Rate Theorem -- taking the minimum necessary rate of control information...

["Mathematical Biology","Epidemiology","Computational Science"]
doi:10.7287/peerj.preprints.1207v1
102 downloads
330 views

Background: Self-management is crucial among patients with diabetes. Increasing the levels of self-management may prevent patients from developing further complications related to their disease. Tailoring education to the patient needs, and providing them with...

["Science and Medical Education","Human-Computer Interaction","Computational Science"]
doi:10.7287/peerj.preprints.1143v2
808 downloads
2,988 views

Genomic pipelines consist of several pieces of third party software and, because their experimental nature, frequent changes and updates are commonly necessary thus raising serious distribution and reproducibility issues. Docker containers technology offers an...

["Bioinformatics","Computational Biology","Genomics","Computational Science"]
doi:10.7287/peerj.preprints.1171v2
54 downloads
292 views

Background: Healthcare is transformed by the usage of new technologies, like Wearable Devices (WD). Patient generated health data (PGHD) from WDs could be found useful in the management and the research of a chronic disease, like Multiple Sclerosis (MS). Objective:...

["Neurology","Science and Medical Education","Computational Science"]
doi:10.7287/peerj.preprints.1144v1
59 downloads
258 views

The WHAAM (Web Health Application for Adhd Monitoring) project, funded by the European LLP program, aims at spreading a multimodal and comprehensive cognitive-behavioral treatment for the ADHD. The main deliverable of this project was the WHAAM app, a digital environment...

["Psychiatry and Psychology","Ethical Issues","Computational Science"]
doi:10.7287/peerj.preprints.1136v1
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