scholarly article | Q13442814 |
P50 | author | Lei Chen | Q41835755 |
P2093 | author name string | Jian Zhang | |
Min Jiang | |||
Zhen Li | |||
Lin Liu | |||
Bi-Qing Li | |||
Tao Huang | |||
P2860 | cites work | Computational prediction and analysis of protein γ-carboxylation sites based on a random forest method. | Q51330285 |
Molecular pathways: regulation of metabolism by RB. | Q52631721 | ||
Multiple pathways counteract cell death induced by RB1 loss: implications for cancer. | Q53250463 | ||
Identification of genes associated with tumorigenesis of retinoblastoma by microarray analysis. | Q53331585 | ||
Retinoblastoma | Q84672125 | ||
Role of MYCN in retinoblastoma | Q86405868 | ||
The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored | Q24607390 | ||
Sensitive and efficient detection of RB1 gene mutations enhances care for families with retinoblastoma | Q24611398 | ||
Classification and analysis of regulatory pathways using graph property, biochemical and physicochemical property, and functional property | Q28477267 | ||
Prediction of protein-protein interaction sites by random forest algorithm with mRMR and IFS | Q28482815 | ||
Prediction of protein cleavage site with feature selection by random forest | Q28483826 | ||
Genetic mapping in human disease | Q29614943 | ||
Risk factor redistribution of the national HIV/AIDS surveillance data: an alternative approach | Q33373105 | ||
Discovering cancer genes by integrating network and functional properties | Q33504922 | ||
From 'omics' to complex disease: a systems biology approach to gene-environment interactions in cancer | Q33875700 | ||
Ensembl BioMarts: a hub for data retrieval across taxonomic space | Q33969847 | ||
Differential gene expression profile of retinoblastoma compared to normal retina | Q33994376 | ||
Prediction of protein modification sites of pyrrolidone carboxylic acid using mRMR feature selection and analysis | Q34102974 | ||
Rescue of myogenic defects in Rb-deficient cells by inhibition of autophagy or by hypoxia-induced glycolytic shift | Q34218778 | ||
Identification of colorectal cancer related genes with mRMR and shortest path in protein-protein interaction network | Q34229832 | ||
p53 post-translational modification: deregulated in tumorigenesis | Q34300569 | ||
Age at diagnosis of isolated unilateral retinoblastoma does not distinguish patients with and without a constitutional RB1 gene mutation but is influenced by a parent-of-origin effect | Q34402322 | ||
Basal dynamics of p53 reveal transcriptionally attenuated pulses in cycling cells. | Q34414003 | ||
Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy | Q34445269 | ||
Structural insights into the mechanism of phosphoregulation of the retinoblastoma protein | Q34629636 | ||
An ensemble prognostic model for colorectal cancer | Q34713253 | ||
Retinoblastoma in Great Britain 1963-2002. | Q34846853 | ||
Detection of mosaic RB1 mutations in families with retinoblastoma | Q34961418 | ||
Prediction of RNA-binding proteins by voting systems | Q35146216 | ||
GENECODIS: a web-based tool for finding significant concurrent annotations in gene lists | Q35724720 | ||
Oncogenic microRNA 17-92 cluster is regulated by epithelial cell adhesion molecule and could be a potential therapeutic target in retinoblastoma | Q36218182 | ||
Cancer: a Systems Biology disease | Q36373713 | ||
Conserved RB functions in development and tumor suppression | Q37969685 | ||
The Gene Ontology Annotation (GOA) Database--an integrated resource of GO annotations to the UniProt Knowledgebase | Q38522030 | ||
Systems biology and new technologies enable predictive and preventative medicine. | Q40473946 | ||
Tet1 is required for Rb phosphorylation during G1/S phase transition | Q42823881 | ||
Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection | Q43644496 | ||
Predicting subcellular location of proteins using integrated-algorithm method | Q44107230 | ||
The chemosensitivity profile of retinoblastoma. | Q44278815 | ||
Identification of retinoblastoma related genes with shortest path in a protein-protein interaction network | Q44754612 | ||
Multiple classifier integration for the prediction of protein structural classes. | Q45964000 | ||
P275 | copyright license | Creative Commons Attribution 3.0 Unported | Q14947546 |
P6216 | copyright status | copyrighted | Q50423863 |
P407 | language of work or name | English | Q1860 |
P921 | main subject | Gene Ontology | Q135085 |
ontology | Q324254 | ||
retinoblastoma | Q500695 | ||
Kyoto Encyclopedia of Genes and Genomes | Q909442 | ||
P6104 | maintained by WikiProject | WikiProject Software | Q15659621 |
P304 | page(s) | 304029 | |
P577 | publication date | 2013-08-13 | |
P1433 | published in | BioMed Research International | Q17509958 |
P1476 | title | Prediction and analysis of retinoblastoma related genes through gene ontology and KEGG | |
P478 | volume | 2013 |
Q60919741 | A feature-based analysis identifies COL1A2 as a regulator in pancreatic cancer |
Q51034029 | Discriminating between deleterious and neutral non-frameshifting indels based on protein interaction networks and hybrid properties. |
Q58786403 | Downregulation of miR‑224‑5p in prostate cancer and its relevant molecular mechanism via TCGA, GEO database and in�silico analyses |
Q35874416 | Genetic differences among ethnic groups. |
Q36059501 | Genomic Copy Number Variation Affecting Genes Involved in the Cell Cycle Pathway: Implications for Somatic Mosaicism |
Q41616259 | Prediction and analysis of essential genes using the enrichments of gene ontology and KEGG pathways. |
Q30930272 | Prediction of cancer proteins by integrating protein interaction, domain frequency, and domain interaction data using machine learning algorithms |
Search more.