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Comparative study of whole exome sequencing-based copy number variation detection tools

BMC bioinformatics, 2020-03, Vol.21 (1), p.97-97, Article 97

2020

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Identification of Molecular Pathway Aberrations in Uterine Serous Carcinoma by Genome-wide Analyses

JNCI : Journal of the National Cancer Institute, 2012-10, Vol.104 (19), p.1503-1513

2012

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FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search Algorithm

PloS one, 2016-03, Vol.11 (3), p.e0150669-e0150669

2016

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A shortest path-based approach for copy number variation detection from next-generation sequencing data

Frontiers in genetics, 2023-01, Vol.13, p.1084974-1084974

2023

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Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods

Frontiers in genetics, 2021-01, Vol.11, p.632901-632901

2021

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HBOS-CNV: A New Approach to Detect Copy Number Variations From Next-Generation Sequencing Data

Frontiers in genetics, 2021-06, Vol.12, p.642473-642473

2021

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RKDOSCNV: A Local Kernel Density-Based Approach to the Detection of Copy Number Variations by Using Next-Generation Sequencing Data

Frontiers in genetics, 2020-11, Vol.11, p.569227-569227

2020

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A Density Peak-Based Method to Detect Copy Number Variations From Next-Generation Sequencing Data

Frontiers in genetics, 2021-01, Vol.11, p.632311-632311

2021

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DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads

Frontiers in genetics, 2020-08, Vol.11, p.924-924

2020

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MFCNV: A New Method to Detect Copy Number Variations From Next-Generation Sequencing Data

Frontiers in genetics, 2020-05, Vol.11, p.434-434

2020

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Detection of Pathogenic Microbe Composition Using Next-Generation Sequencing Data

Frontiers in genetics, 2020-11, Vol.11, p.603093-603093

2020

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Analysis of breast cancer subtypes by AP-ISA biclustering

BMC bioinformatics, 2017-11, Vol.18 (1), p.481-481, Article 481

2017

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Accurate Inference of Tumor Purity and Absolute Copy Numbers From High-Throughput Sequencing Data

Frontiers in genetics, 2020-04, Vol.11, p.458-458

2020

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Stratification of Breast Cancer by Integrating Gene Expression Data and Clinical Variables

Molecules (Basel, Switzerland), 2019-02, Vol.24 (3), p.631

2019

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Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

Journal of biomolecular structure & dynamics, 2012-01, Vol.29 (6), p.1138-1146

2012

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WAVECNV: A New Approach for Detecting Copy Number Variation by Wavelet Clustering

Mathematics (Basel), 2022-06, Vol.10 (12), p.2151

2022

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Comparative analysis of methods for identifying recurrent copy number alterations in cancer

PloS one, 2012-12, Vol.7 (12), p.e52516

2012

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KNNCNV: A K-Nearest Neighbor Based Method for Detection of Copy Number Variations Using NGS Data

Frontiers in cell and developmental biology, 2021-12, Vol.9, p.796249-796249

2021

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SM-RCNV: a statistical method to detect recurrent copy number variations in sequenced samples

Genes & Genomics, 2019, 41(5), , pp.529-536

2019

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Genome-wide identification of significant aberrations in cancer genome

BMC genomics, 2012-07, Vol.13 (1), p.342-342, Article 342

2012

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TAGCNA: a method to identify significant consensus events of copy number alterations in cancer

PloS one, 2012-07, Vol.7 (7), p.e41082

2012

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Comparative analysis of methods for detecting interacting loci

BMC genomics, 2011-07, Vol.12 (1), p.344-344, Article 344

2011

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Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer

Biomedical optics express, 2024-03, Vol.15 (3), p.1515-1527

2024

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Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations

Scientific reports, 2017-09, Vol.7 (1), p.11529-18, Article 11529

2017

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Improving the prediction accuracy of protein structural class: Approached with alternating word frequency and normalized Lempel–Ziv complexity

Journal of theoretical biology, 2014-01, Vol.341, p.71-77

2014

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Comparative study of whole exome sequencing-based copy number variation detection tools

Identification of Molecular Pathway Aberrations in Uterine Serous Carcinoma by Genome-wide Analyses

FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search Algorithm

A shortest path-based approach for copy number variation detection from next-generation sequencing data

Integrating Somatic Mutations for Breast Cancer Survival Prediction Using Machine Learning Methods

HBOS-CNV: A New Approach to Detect Copy Number Variations From Next-Generation Sequencing Data

RKDOSCNV: A Local Kernel Density-Based Approach to the Detection of Copy Number Variations by Using Next-Generation Sequencing Data

A Density Peak-Based Method to Detect Copy Number Variations From Next-Generation Sequencing Data

DINTD: Detection and Inference of Tandem Duplications From Short Sequencing Reads

MFCNV: A New Method to Detect Copy Number Variations From Next-Generation Sequencing Data

Detection of Pathogenic Microbe Composition Using Next-Generation Sequencing Data

Analysis of breast cancer subtypes by AP-ISA biclustering

Accurate Inference of Tumor Purity and Absolute Copy Numbers From High-Throughput Sequencing Data

Stratification of Breast Cancer by Integrating Gene Expression Data and Clinical Variables

Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

WAVECNV: A New Approach for Detecting Copy Number Variation by Wavelet Clustering

Comparative analysis of methods for identifying recurrent copy number alterations in cancer

KNNCNV: A K-Nearest Neighbor Based Method for Detection of Copy Number Variations Using NGS Data

SM-RCNV: a statistical method to detect recurrent copy number variations in sequenced samples

Genome-wide identification of significant aberrations in cancer genome

TAGCNA: a method to identify significant consensus events of copy number alterations in cancer

Comparative analysis of methods for detecting interacting loci

Intelligent scoring system based on dynamic optical breast imaging for early detection of breast cancer

Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations

Improving the prediction accuracy of protein structural class: Approached with alternating word frequency and normalized Lempel–Ziv complexity

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