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Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery.

, , , , и . SSP, стр. 1-5. IEEE, (2016)

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Simone Marion

Ernst Marioth-Wirtz

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Ilias Mariolakos

 

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A Neural Network Approach for Anomaly Detection in Genomic Signals., , , и . APSIPA, стр. 968-971. IEEE, (2020)Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data., , , и . EUSIPCO, стр. 1215-1219. IEEE, (2020)Predicting Novel and Inherited Variants in Parent-Child Trios., , , и . MeMeA, стр. 1-6. IEEE, (2019)A Non-iterative Parallelizable Eigenbasis Algorithm for Johnson Graphs., , , , и . CoRR, (2018)Detecting novel genomic structural variants through negative binomial optimization., , , и . ACSSC, стр. 511-515. IEEE, (2020)Detecting Novel Structural Variants In Genomes By Leveraging Parent-Child Relatedness., , , и . BIBM, стр. 943-950. IEEE Computer Society, (2018)Genomic Signal Processing for Variant Detection in Diploid Parent-Child Trios., , , и . EUSIPCO, стр. 1318-1322. IEEE, (2020)Sparse genomic structural variant detection: Exploiting parent-child relatedness for signal recovery., , , , и . SSP, стр. 1-5. IEEE, (2016)Structural Variant Prediction in Extended Pedigrees Through Sparse Negative Binomial Genome Signal Recovery., , и . EMBC, стр. 1311-1314. IEEE, (2018)Sparse diploid spatial biosignal recovery for genomic variation detection., , , , , , , , и . MeMeA, стр. 275-280. IEEE, (2017)