scholarly article | Q13442814 |
P50 | author | Chuang Ma | Q56547427 |
P2093 | author name string | Hao Yuan | |
Yunjia Tang | |||
Jingjing Zhai | |||
Longteng Wang | |||
Haoli Shang | |||
P2860 | cites work | WikiPathways: capturing the full diversity of pathway knowledge | Q24082733 |
Machine learning applications in genetics and genomics | Q38463061 | ||
PlaNet: combined sequence and expression comparisons across plant networks derived from seven species | Q38502841 | ||
The link between flowering time and stress tolerance | Q38597130 | ||
Gene Networks in Plant Biology: Approaches in Reconstruction and Analysis | Q38600268 | ||
Arabidopsis Kelch repeat F-box proteins regulate phenylpropanoid biosynthesis via controlling the turnover of phenylalanine ammonia-lyase | Q39289251 | ||
Functional characterization of drought-responsive modules and genes in Oryza sativa: a network-based approach | Q39468520 | ||
An integrated network of Arabidopsis growth regulators and its use for gene prioritization | Q40259806 | ||
Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutations | Q41428584 | ||
PASE: a novel method for functional prediction of amino acid substitutions based on physicochemical properties | Q41546939 | ||
Large-scale co-expression approach to dissect secondary cell wall formation across plant species | Q41965297 | ||
Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins | Q42660547 | ||
Machine learning-based differential network analysis: a study of stress-responsive transcriptomes in Arabidopsis. | Q44609278 | ||
Body-Methylated Genes in Arabidopsis thaliana Are Functionally Important and Evolve Slowly | Q46031902 | ||
FamNet: A Framework to Identify Multiplied Modules Driving Pathway Expansion in Plants. | Q46513781 | ||
Quantifying the effect of burial of amino acid residues on protein stability | Q47296179 | ||
Computational prediction of proteotypic peptides for quantitative proteomics | Q51925913 | ||
Hydrophobicity and structural classes in proteins | Q68036443 | ||
The solubility of amino acids and two glycine peptides in aqueous ethanol and dioxane solutions. Establishment of a hydrophobicity scale | Q71785195 | ||
STRING 8--a global view on proteins and their functional interactions in 630 organisms | Q24656073 | ||
Learning from Co-expression Networks: Possibilities and Challenges | Q27015436 | ||
Unravelling angiosperm genome evolution by phylogenetic analysis of chromosomal duplication events | Q28186749 | ||
Deposition of Histone Variant H2A.Z within Gene Bodies Regulates Responsive Genes | Q28484353 | ||
The GeneMANIA prediction server: biological network integration for gene prioritization and predicting gene function | Q29614950 | ||
Correlation of sequence hydrophobicities measures similarity in three-dimensional protein structure | Q30413726 | ||
Association of genes to genetically inherited diseases using data mining | Q30692445 | ||
Repression of FLOWERING LOCUS T chromatin by functionally redundant histone H3 lysine 4 demethylases in Arabidopsis | Q30928119 | ||
Gene prioritization through genomic data fusion | Q33242612 | ||
Rational association of genes with traits using a genome-scale gene network for Arabidopsis thaliana | Q33801141 | ||
Prediction of protein cellular attributes using pseudo-amino acid composition | Q33941503 | ||
Combining genome-wide association mapping and transcriptional networks to identify novel genes controlling glucosinolates in Arabidopsis thaliana | Q33998688 | ||
Robust rank aggregation for gene list integration and meta-analysis | Q34128287 | ||
Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle? | Q34333936 | ||
Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines. | Q34504872 | ||
Amino acid side-chain partition energies and distribution of residues in soluble proteins | Q34535386 | ||
AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species | Q35253375 | ||
Genetic dissection of the biotic stress response using a genome-scale gene network for rice. | Q35546770 | ||
Integrating Rare-Variant Testing, Function Prediction, and Gene Network in Composite Resequencing-Based Genome-Wide Association Studies (CR-GWAS). | Q35746734 | ||
RiceNet v2: an improved network prioritization server for rice genes | Q35810239 | ||
The AT-hook Motif-containing Protein AHL22 Regulates Flowering Initiation by Modifying FLOWERING LOCUS T Chromatin in Arabidopsis | Q35939994 | ||
PICARA, an analytical pipeline providing probabilistic inference about a priori candidates genes underlying genome-wide association QTL in plants | Q36380916 | ||
ATTED-II in 2016: A Plant Coexpression Database Towards Lineage-Specific Coexpression | Q36488613 | ||
Identification of protein functions using a machine-learning approach based on sequence-derived properties | Q37316390 | ||
A guide to web tools to prioritize candidate genes | Q37833411 | ||
The role of epigenetic processes in controlling flowering time in plants exposed to stress. | Q37883842 | ||
Computational tools for prioritizing candidate genes: boosting disease gene discovery | Q38023145 | ||
Towards revealing the functions of all genes in plants | Q38162601 | ||
Characteristics of Plant Essential Genes Allow for within- and between-Species Prediction of Lethal Mutant Phenotypes | Q38458907 | ||
P921 | main subject | meta-analysis | Q815382 |
prioritization | Q11888847 | ||
P304 | page(s) | 1914 | |
P577 | publication date | 2016-12-15 | |
P1433 | published in | Frontiers in Plant Science | Q27723840 |
P1476 | title | A Meta-Analysis Based Method for Prioritizing Candidate Genes Involved in a Pre-specific Function | |
P478 | volume | 7 |
Q55209604 | Transcriptome-Wide Annotation of m5C RNA Modifications Using Machine Learning. | cites work | P2860 |
Search more.