When the algorithm was evaluated in the testing dataset, we found a sensitivity=53%, specificity=91%, PPV=78%, and NPV=77%. The AUC in the testing dataset was 0.78. Conclusion A simple pattern matching algorithm designed to identify sleep complaints in primary care progress notes showed good...
For easy visualization of expression patterns, the seven spots that were identified by t test as being differentially expressed between the two strains of mice were grouped using a hierarchical clustering algorithm and displayed as a heat map of a “gene tree” (Fig. 2). This organization of ...
In the application of our algorithm to the GLH data, we identified a total of 156,405 visits to 5098 unique food outlets. The breakdown of visits by outlet type is shown in Table 3. The duration of these trips, encompassing all participants, revealed a mean visit length of approximately 28...
El Ouali, M., Sauerland, V. (2013). Improved Approximation Algorithm for the Number of Queries Necessary to Identify a Permutation. In: Lecroq, T., Mouchard, L. (eds) Combinatorial Algorithms. IWOCA 2013. Lecture Notes in Computer Science, vol 8288. Springer, Berlin, Heidelberg. https://...
(TCGA) HCC transcriptional datasets4.c, Unbiased clustering using a Louvain community detection algorithm identifies four groups within human and mouse (GEMM, TOX and OT) HCC data.d, The distribution of the subgroups identified incwith UMAP highlights shared HuMo clusters.e, All HuMo clusters are...
For disconnected shapes, use pattern recognition or machine learning to infer the missing segments. Testing and Validation: Test on various occluded images, starting from simple gaps to more complex occlusions. Validate the algorithm's ability to naturally complete the curve without abrupt transitions...
s condition and patient symptoms as interpreted by the treating physician.dGeneration of a single base-learner (single outlook) required the random selection of: a machine learning algorithm; hyper-parameters; a target outcome and feature selection. In total, using this randomized protocol, we ...
This pipeline performs multiple alignments and strict filtering algorithm to improve sensitivity and reduce the false positive rate. GFusion successfully detected 34 from 43 previously reported fusions in four cancer datasets. We also demonstrated the effectiveness of GFusion using 24 million 76 bp ...
pattern will improve the detection of the true enrichment pattern. For example, enrichment induced by focal amplification shows a shape pattern (similar to Figure6A) very different from that of enrichment by TF binding, and the pattern matching step of our algorithm can efficiently remove it from...
A deconvolution algorithm is applied to all deltaF/F traces to remove the nonphysiological slow decay and to sharpen the calcium transients. The Pearson product-moment correlation coefficient (PCC) for each deconvolved trace is calculated about all other deconvolved paths. Next, a Monte-Carlo ...