Publications by authors named "Elliot Hill"
Sequence conservation analyses offer us a powerful glimpse of natural selection at work. Standard tools for measuring sequence conservation report conservation as a function of a specific location in a multiple sequence alignment and have proven indispensable in identifying highly constrained features such as active site residues. The advent of large-scale genomic sequencing efforts allows researchers to expand this paradigm and investigate more nuanced relationships between sequence and function.
View Article and Find Full Text PDFObjective: This study aimed to develop a novel approach using routinely collected electronic health records (EHRs) data to improve the prediction of a rare event. We illustrated this using an example of improving early prediction of an autism diagnosis, given its low prevalence, by leveraging correlations between autism and other neurodevelopmental conditions (NDCs).
Methods: To achieve this, we introduced a conditional multi-label model by merging conditional learning and multi-label methodologies.
Article Synopsis
- Machine-learning datasets are usually assessed by their size and class balance, but diversity measures that consider element frequencies and similarities are potentially more informative.
- A new Python package has been developed to easily calculate these diversity measures for large datasets, filling a gap in the tools available for Python users compared to R and Julia.
- The package can compute frequency-sensitive measures from Hill's D-number framework and other similarity measures, and it also compares datasets, with examples demonstrating its use in fields like immunomics, metagenomics, and medical imaging.
The amount of SARS-CoV-2 in a sample is often measured using Ct values. However, the same Ct value may correspond to different viral loads on different platforms and assays, making them difficult to compare from study to study. To address this problem, we developed , a Python package that converts Ct values to viral loads for any RT-qPCR assay/platform.
View Article and Find Full Text PDFPreviously, it has been shown that maximum-entropy models of immune-repertoire sequence can be used to determine a person's vaccination status. However, this approach has the drawback of requiring a computationally intensive method to compute each model's partition function , the normalization constant required for calculating the probability that the model will generate a given sequence. Specifically, the method required generating approximately 10 sequences via Monte-Carlo simulations for each model.
View Article and Find Full Text PDFPurpose: Particle migration, poor shape definition and/or rapid resorption limit the success of current urethral bulking agents. We propose that shape defining porous scaffolds that allow cell infiltration and anchoring, and may be delivered in a minimally invasive manner may provide many advantageous features.
Materials And Methods: Alginate hydrogels were prepared with varying degrees of covalent cross-linking and different pore characteristics.