"bmc genetics" trang 13 - tải miễn phí từ tailieunhanh
Uncovering novel MHC alleles from RNA-Seq data: Expanding the spectrum of MHC class I alleles in sheep

Uncovering novel MHC alleles from RNA-Seq data: Expanding the spectrum of MHC class I alleles in sheep
14    9    1
Polymorphism detection of PRKG2 gene and its association with the number of thoracolumbar vertebrae and carcass traits in Dezhou donkey

Polymorphism detection of PRKG2 gene and its association with the number of thoracolumbar vertebrae and carcass traits in Dezhou donkey
11    12    1
Comparative analysis of codon usage patterns in chloroplast genomes of ten Epimedium species

Comparative analysis of codon usage patterns in chloroplast genomes of ten Epimedium species
10    13    1
Potential prognostic value of a eight ferroptosis-related lncRNAs model and the correlative immune activity in oral squamous cell carcinoma

Potential prognostic value of a eight ferroptosis-related lncRNAs model and the correlative immune activity in oral squamous cell carcinoma
17    9    1
An investigation of codon usage pattern analysis in pancreatitis associated genes

An investigation of codon usage pattern analysis in pancreatitis associated genes
19    8    1
A comprehensive list of human microdeletion and microduplication syndromes

A comprehensive list of human microdeletion and microduplication syndromes
3    14    1
Consequences of aberrated DNA methylation in Colon Adenocarcinoma: a bioinformatic-based multi-approach

Consequences of aberrated DNA methylation in Colon Adenocarcinoma: a bioinformatic-based multi-approach
10    15    1
Identifcation of metabolism-related genes for predicting peritoneal metastasis in patients with gastric cancer

Identifcation of metabolism-related genes for predicting peritoneal metastasis in patients with gastric cancer
11    13    1
Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia

Construction and validation of a fatty acid metabolism risk signature for predicting prognosis in acute myeloid leukemia
12    14    1
Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures

Quality control for Illumina 450K methylation data in the absence of iDat files using correlation structure in pedigrees and repeated measures
6    8    1
Comparison of novel and existing methods for detecting differentially methylated regions

Comparison of novel and existing methods for detecting differentially methylated regions
5    14    1
Indirect effect inference and application to GAW20 data

Indirect effect inference and application to GAW20 data
5    12    1
An adaptive gene-level association test for pedigree data

An adaptive gene-level association test for pedigree data
5    13    1
Investigation of parent-of-origin effects induced by fenofibrate treatment on triglycerides levels

Investigation of parent-of-origin effects induced by fenofibrate treatment on triglycerides levels
5    6    1
Joint analysis of genetic and epigenetic data using a conditional autoregressive model

Joint analysis of genetic and epigenetic data using a conditional autoregressive model
4    9    1
Longitudinal data methods for evaluating genome-by-epigenome interactions in families

Longitudinal data methods for evaluating genome-by-epigenome interactions in families
5    13    1
Modification effect of fenofibrate therapy, a longitudinal epigenomic-wide methylation study of triglycerides levels in the GOLDN study

Modification effect of fenofibrate therapy, a longitudinal epigenomic-wide methylation study of triglycerides levels in the GOLDN study
6    5    1
Incorporating methylation genome information improves prediction accuracy for drug treatment responses

Incorporating methylation genome information improves prediction accuracy for drug treatment responses
5    13    1
Causal modeling in a multi-omic setting: Insights from GAW20

Causal modeling in a multi-omic setting: Insights from GAW20
7    11    1
Data mining and machine learning approaches for the integration of genomewide association and methylation data: Methodology and main conclusions from GAW20

Data mining and machine learning approaches for the integration of genomewide association and methylation data: Methodology and main conclusions from GAW20
8    16    1