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Showing 1 - 6 results of 6 for search '(( binary data fit detection algorithm ) OR ( binary stop codon optimization algorithm ))*', query time: 0.48s Refine Results
  1. 1
    Linear time dynamic programming for computing breakpoints in the regularization path of models selected from a finite set

    Linear time dynamic programming for computing breakpoints in the regularization path of models selected from a finite set by Joseph Vargovich (11706769)

    Published 2021
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  2. 2
    Data_Sheet_1_DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads.docx

    Data_Sheet_1_DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads.docx by Jinxin Dong (9229511)

    Published 2020
    “…The major principle of the proposed method is that it first extracts read depth and mapping quality signals, then uses the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm to find the possible TD regions. The total variation penalized least squares model is fitted with read depth and mapping quality signals to denoise signals. …”
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  3. 3
    Melanoma Detection by Means of Multiple Instance Learning

    Melanoma Detection by Means of Multiple Instance Learning by Annabella Astorino (11644324)

    Published 2021
    “…We present an application to melanoma detection of a multiple instance learning (MIL) approach, whose objective, in the binary case, is to discriminate between positive and negative sets of items. …”
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  4. 4
    PathOlOgics_RBCs Python Scripts.zip

    PathOlOgics_RBCs Python Scripts.zip by Ahmed Elsafty (16943883)

    Published 2023
    “…</p><p><br></p><p dir="ltr">In the fifth measurement technique, the numbers of sharp <b>surface projections/protrusions</b> were calculated by initially applying Canny's edge detection algorithm to generate an edge map of the cell mask image. …”
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  5. 5
    Raw LC-MS/MS and RNA-Seq Mitochondria data

    Raw LC-MS/MS and RNA-Seq Mitochondria data by Stefano Martellucci (16284377)

    Published 2025
    “…The missing values were imputed with the minimum intensity value for each specific data set; (b) for samples expressed in both scLRP1+/+ and scLRP1-/- tissue, the filtering process required 2 or more proteins to be detected in both scLRP1+/+ and scLRP1-/- samples. …”
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  6. 6
    Behavioral and Eye-tracking Data for Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments

    Behavioral and Eye-tracking Data for Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments by Peter Murphy (10141523)

    Published 2021
    “…</p><p><br></p><p>For example code for analyzing behaviour, fitting behavioural models, and analyzing pupil data, see <a href="https://github.com/DonnerLab/2021_Murphy_Adaptive-Circuit-Dynamics-Across-Human-Cortex">https://github.com/DonnerLab/2021_Murphy_Adaptive-Circuit-Dynamics-Across-Human-Cortex</a>.…”
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