Cargando…

PEcnv: accurate and efficient detection of copy number variations of various lengths

Copy number variation (CNV) is a class of key biomarkers in many complex traits and diseases. Detecting CNV from sequencing data is a substantial bioinformatics problem and a standard requirement in clinical practice. Although many proposed CNV detection approaches exist, the core statistical model...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Xuwen, Xu, Ying, Liu, Ruoyu, Lai, Xin, Liu, Yuqian, Wang, Shenjie, Zhang, Xuanping, Wang, Jiayin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2022
Materias:	Problem Solving Protocol
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487654/ https://www.ncbi.nlm.nih.gov/pubmed/36056740 http://dx.doi.org/10.1093/bib/bbac375

Ejemplares similares

The repertoire of copy number alteration signatures in human cancer
por: Tao, Ziyu, et al.
Publicado: (2023)

Unveiling human origins of replication using deep learning: accurate prediction and comprehensive analysis
por: Yin, Zhen-Ning, et al.
Publicado: (2023)

FitDevo: accurate inference of single-cell developmental potential using sample-specific gene weight
por: Zhang, Feng, et al.
Publicado: (2022)

HiC1Dmetrics: framework to extract various one-dimensional features from chromosome structure data
por: Wang, Jiankang, et al.
Publicado: (2021)

Accurate identification of bacteriophages from metagenomic data using Transformer
por: Shang, Jiayu, et al.
Publicado: (2022)

ARAMIS: From systematic errors of NGS long reads to accurate assemblies
por: Sacristán-Horcajada, E, et al.
Publicado: (2021)

TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes
por: de Medeiros Oliveira, Mauro, et al.
Publicado: (2021)

RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning
por: He, Shujun, et al.
Publicado: (2023)

Accurate prediction of inter-protein residue–residue contacts for homo-oligomeric protein complexes
por: Yan, Yumeng, et al.
Publicado: (2021)

NiPTUNE: an automated pipeline for noninvasive prenatal testing in an accurate, integrative and flexible framework
por: Duboc, Véronique, et al.
Publicado: (2021)

epitope1D: accurate taxonomy-aware B-cell linear epitope prediction
por: da Silva, Bruna Moreira, et al.
Publicado: (2023)

A young man with multiple joint pains and fever: A case with the importance of accurate history taking
por: Sonoda, Kento, et al.
Publicado: (2017)

A new method to accurately identify single nucleotide variants using small FFPE breast samples
por: Fortunato, Angelo, et al.
Publicado: (2021)

TACOS: a novel approach for accurate prediction of cell-specific long noncoding RNAs subcellular localization
por: Jeon, Young-Jun, et al.
Publicado: (2022)

Self-supervised deep clustering of single-cell RNA-seq data to hierarchically detect rare cell populations
por: Lei, Tianyuan, et al.
Publicado: (2023)

Evidential deep learning for trustworthy prediction of enzyme commission number
por: Han, So-Ra, et al.
Publicado: (2023)

Polyadenylation-related isoform switching in human evolution revealed by full-length transcript structure
por: Li, Yumei, et al.
Publicado: (2021)

A universal model of RNA.DNA:DNA triplex formation accurately predicts genome-wide RNA–DNA interactions
por: Warwick, Timothy, et al.
Publicado: (2022)

TIGER: technical variation elimination for metabolomics data using ensemble learning architecture
por: Han, Siyu, et al.
Publicado: (2022)

Identification of genetic variations associated with drug resistance in non-small cell lung cancer patients undergoing systemic treatment
por: Luo, Ruihan, et al.
Publicado: (2021)

Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing
por: Lee, Joongho, et al.
Publicado: (2023)

CHERRY: a Computational metHod for accuratE pRediction of virus–pRokarYotic interactions using a graph encoder–decoder model
por: Shang, Jiayu, et al.
Publicado: (2022)

MSIsensor-ct: microsatellite instability detection using cfDNA sequencing data
por: Han, Xinyin, et al.
Publicado: (2021)

RFPR-IDP: reduce the false positive rates for intrinsically disordered protein and region prediction by incorporating both fully ordered proteins and disordered proteins
por: Liu, Yumeng, et al.
Publicado: (2020)

HiC4D: forecasting spatiotemporal Hi-C data with residual ConvLSTM
por: Liu, Tong, et al.
Publicado: (2023)

scHiMe: predicting single-cell DNA methylation levels based on single-cell Hi-C data
por: Zhu, Hao, et al.
Publicado: (2023)

PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein–protein interaction network
por: Wang, Xiaowen, et al.
Publicado: (2022)

HNetGO: protein function prediction via heterogeneous network transformer
por: Zhang, Xiaoshuai, et al.
Publicado: (2023)

Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5
por: Liu, Lu, et al.
Publicado: (2021)

Locating transcription factor binding sites by fully convolutional neural network
por: Zhang, Qinhu, et al.
Publicado: (2021)

Comprehensive assessment of cellular senescence in the tumor microenvironment
por: Wang, Xiaoman, et al.
Publicado: (2022)

MpbPPI: a multi-task pre-training-based equivariant approach for the prediction of the effect of amino acid mutations on protein–protein interactions
por: Yue, Yang, et al.
Publicado: (2023)

Predicting gene regulatory links from single-cell RNA-seq data using graph neural networks
por: Mao, Guo, et al.
Publicado: (2023)

SPCS: a spatial and pattern combined smoothing method for spatial transcriptomic expression
por: Liu, Yusong, et al.
Publicado: (2022)

Improving artificial intelligence pipeline for liver malignancy diagnosis using ultrasound images and video frames
por: Xu, Yiming, et al.
Publicado: (2022)

An inductive graph neural network model for compound–protein interaction prediction based on a homogeneous graph
por: Wan, Xiaozhe, et al.
Publicado: (2022)

DLRAPom: a hybrid pipeline of Optimized XGBoost-guided integrative multiomics analysis for identifying targetable disease-related lncRNA–miRNA–mRNA regulatory axes
por: Shen, Chen, et al.
Publicado: (2022)

cSurvival: a web resource for biomarker interactions in cancer outcomes and in cell lines
por: Cheng, Xuanjin, et al.
Publicado: (2022)

Machine learning revealed stemness features and a novel stemness-based classification with appealing implications in discriminating the prognosis, immunotherapy and temozolomide responses of 906 glioblastoma patients
por: Wang, Zihao, et al.
Publicado: (2021)

RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization
por: Yuan, Guo-Hua, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_dibf81in7kaf7kgqj9f8p7uc4n