Cargando…

Genome-wide hierarchical mixed model association analysis

In genome-wide mixed model association analysis, we stratified the genomic mixed model into two hierarchies to estimate genomic breeding values (GBVs) using the genomic best linear unbiased prediction and statistically infer the association of GBVs with each SNP using the generalized least square. T...

Descripción completa

Detalles Bibliográficos
Autores principales:	Hao, Zhiyu, Gao, Jin, Song, Yuxin, Yang, Runqing, Liu, Di
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Oxford University Press 2021
Materias:	Problem Solving Protocol
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8575042/ https://www.ncbi.nlm.nih.gov/pubmed/34368830 http://dx.doi.org/10.1093/bib/bbab306

Ejemplares similares

Quantitative model for genome-wide cyclic AMP receptor protein binding site identification and characteristic analysis
por: Chen, Yigang, et al.
Publicado: (2023)

Improve consensus partitioning via a hierarchical procedure
por: Gu, Zuguang, et al.
Publicado: (2022)

An efficient multi-locus mixed model framework for the detection of small and linked QTLs in F(2)
por: Wen, Yang-Jun, et al.
Publicado: (2018)

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

netANOVA: novel graph clustering technique with significance assessment via hierarchical ANOVA
por: Duroux, Diane, et al.
Publicado: (2023)

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)

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

A penalized linear mixed model with generalized method of moments for prediction analysis on high-dimensional multi-omics data
por: Wang, Xiaqiong, et al.
Publicado: (2022)

Explainability in transformer models for functional genomics
por: Clauwaert, Jim, et al.
Publicado: (2021)

GOWDL: gene ontology-driven wide and deep learning model for cell typing of scRNA-seq data
por: Fiannaca, Antonino, et al.
Publicado: (2023)

RBP-TSTL is a two-stage transfer learning framework for genome-scale prediction of RNA-binding proteins
por: Peng, Xinxin, et al.
Publicado: (2022)

Critical assessment of pan-genomic analysis of metagenome-assembled genomes
por: Li, Tang, et al.
Publicado: (2022)

SAM-TB: a whole genome sequencing data analysis website for detection of Mycobacterium tuberculosis drug resistance and transmission
por: Yang, Tingting, et al.
Publicado: (2022)

Analysis, identification and visualization of subgroups in genomics
por: Völkel, Gunnar, et al.
Publicado: (2020)

slORFfinder: a tool to detect open reading frames resulting from trans-splicing of spliced leader sequences
por: Song, Bo, et al.
Publicado: (2023)

Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam
por: Pham, Duy, et al.
Publicado: (2022)

spaCI: deciphering spatial cellular communications through adaptive graph model
por: Tang, Ziyang, et al.
Publicado: (2022)

Assessing protein model quality based on deep graph coupled networks using protein language model
por: Liu, Dong, et al.
Publicado: (2023)

Spatial density of open chromatin: an effective metric for the functional characterization of topologically associated domains
por: Jiang, Shuai, et al.
Publicado: (2020)

The substitution spectra of coronavirus genomes
por: Forni, Diego, et al.
Publicado: (2021)

DCiPatho: deep cross-fusion networks for genome scale identification of pathogens
por: Jiang, Gaofei, et al.
Publicado: (2023)

PedMiner: a tool for linkage analysis-based identification of disease-associated variants using family based whole-exome sequencing data
por: Zhou, Jianteng, et al.
Publicado: (2020)

A new approach to decode DNA methylome and genomic variants simultaneously from double strand bisulfite sequencing
por: Liang, Jialong, et al.
Publicado: (2021)

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)

Network-based modeling of herb combinations in traditional Chinese medicine
por: Wang, Yinyin, et al.
Publicado: (2021)

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)

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

Converting single nucleotide variants between genome builds: from cautionary tale to solution
por: Ormond, Cathal, et al.
Publicado: (2021)

A quality control portal for sequencing data deposited at the European genome–phenome archive
por: Fernández-Orth, Dietmar, et al.
Publicado: (2022)

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

Deep-joint-learning analysis model of single cell transcriptome and open chromatin accessibility data
por: Zuo, Chunman, et al.
Publicado: (2020)

RadSigBench: a framework for benchmarking functional genomics signatures of cancer cell radiosensitivity
por: O’Connor, John D, et al.
Publicado: (2022)

binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets
por: Hickl, Oskar, et al.
Publicado: (2022)

New insights on human essential genes based on integrated analysis and the construction of the HEGIAP web-based platform
por: Chen, Hebing, et al.
Publicado: (2019)

Detecting SARS-CoV-2 and its variant strains with a full genome tiling array
por: Jiang, Limin, et al.
Publicado: (2021)

Inpactor2: a software based on deep learning to identify and classify LTR-retrotransposons in plant genomes
por: Orozco-Arias, Simon, et al.
Publicado: (2022)

Zero-shot-capable identification of phage–host relationships with whole-genome sequence representation by contrastive learning
por: Zhang, Yao-zhong, et al.
Publicado: (2023)

Tools for fundamental analysis functions of TCR repertoires: a systematic comparison
por: Zhang, Yanfang, et al.
Publicado: (2019)

AD-Syn-Net: systematic identification of Alzheimer’s disease-associated mutation and co-mutation vulnerabilities via deep learning
por: Pan, Xingxin, et al.
Publicado: (2023)

Improving therapeutic synergy score predictions with adverse effects using multi-task heterogeneous network learning
por: Yue, Yang, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_0bj65sggt4941va7o6edtj4pgu