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We have developed a method that builds a putative transcriptional network of co-expressed genes based on them sharing highly similar promoter contents.
Life-cycle assessment (LCA) is a method that builds on factual information and models of natural processes (Hertwich and Hammitt 2001).
In this regard, we present a method that builds upon the manually collated and curated ChEMBL document corpus, in order to train a Bag-of-Words (BoW) document classifier.
GERMLINE is a computationally efficient software implementing a method that builds a dictionary of haplotypes to find matches between individuals.
Partial Least Square Regression (PLSR) is a method that builds orthogonal linear combinations of the markers that have a maximum correlation with the phenotypes and regresses the phenotypes on these linear combinations, which are also called components [ 15].
These include a method that builds a classifier on-the-fly using S as elements of the positive class R=1, and a random subset of data points as the negative class R=0 (e.g. Turney, 2008).
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ASMSA includes an evaluation framework and a selection method that builds on our earlier work, which established over 200 criteria to evaluate APIMs.
Herein, we introduce a novel method that builds upon several recently proposed approaches for comparing community trophic structure using the isotopic centroid (the mean for all species in a local assemblage) as a reference point [ 23- 25].
This paper presents a simple method that builds on models reported by Weintraub and colleagues [ 2] to create a calculator that can provide NACC and ADC clinical researchers with a quick, efficient, and straightforward means to obtain a range of z-scores and percentile rank estimates for performance of subjects on the neuropsychological tests of the UDS.
This connection is what we present here, by introducing a new registration method that builds upon a tree of locally affine transformations that describes variability at different scales.
Results: We present LoRDEC, a hybrid error correction method that builds a succinct de Bruijn graph representing the short reads, and seeks a corrective sequence for each erroneous region in the long reads by traversing chosen paths in the graph.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com