Pages that link to "Q28252491"
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The following pages link to Network modeling links breast cancer susceptibility and centrosome dysfunction (Q28252491):
Displaying 50 items.
- A precisely regulated gene expression cassette potently modulates metastasis and survival in multiple solid cancers (Q21145043) (← links)
- A dynamic network approach for the study of human phenotypes (Q21145365) (← links)
- Genome-wide matching of genes to cellular roles using guilt-by-association models derived from single sample analysis (Q21199585) (← links)
- Initial characterization of the human central proteome (Q21202777) (← links)
- The CHK2-BRCA1 tumour suppressor pathway ensures chromosomal stability in human somatic cells (Q24305557) (← links)
- KIAA0101 interacts with BRCA1 and regulates centrosome number (Q24306544) (← links)
- Interactome mapping suggests new mechanistic details underlying Alzheimer's disease (Q24317038) (← links)
- Systematic identification of molecular links between core and candidate genes in breast cancer (Q24317056) (← links)
- Charting the molecular links between driver and susceptibility genes in colorectal cancer (Q24318881) (← links)
- Bioinformatics for cancer immunology and immunotherapy (Q26864876) (← links)
- The shortest path is not the one you know: application of biological network resources in precision oncology research (Q26999241) (← links)
- Bioinformatics and systems biology (Q27005417) (← links)
- Structure and dynamics of molecular networks: a novel paradigm of drug discovery: a comprehensive review (Q27008867) (← links)
- Interactions between Hyaluronan and Its Receptors (CD44, RHAMM) Regulate the Activities of Inflammation and Cancer (Q27021261) (← links)
- The BRCA1 Breast Cancer Suppressor: Regulation of Transport, Dynamics, and Function at Multiple Subcellular Locations (Q27026264) (← links)
- Bridging the gap between clinicians and systems biologists: from network biology to translational biomedical research (Q28072766) (← links)
- RHAMM promotes interphase microtubule instability and mitotic spindle integrity through MEK1/ERK1/2 activity (Q28285641) (← links)
- Interplay of mevalonate and Hippo pathways regulates RHAMM transcription via YAP to modulate breast cancer cell motility (Q28304661) (← links)
- Network-based identification of biomarkers coexpressed with multiple pathways (Q28397059) (← links)
- Human cancer protein-protein interaction network: a structural perspective (Q28472174) (← links)
- The noncoding RNA expression profile and the effect of lncRNA AK126698 on cisplatin resistance in non-small-cell lung cancer cell (Q28533535) (← links)
- Yeast Augmented Network Analysis (YANA): a new systems approach to identify therapeutic targets for human genetic diseases (Q28655730) (← links)
- Network models of genome-wide association studies uncover the topological centrality of protein interactions in complex diseases (Q28674016) (← links)
- An integrative network algorithm identifies age-associated differential methylation interactome hotspots targeting stem-cell differentiation pathways (Q28709213) (← links)
- Network medicine: a network-based approach to human disease (Q29547462) (← links)
- Interactome networks and human disease (Q29615773) (← links)
- Identification of Novel Type 1 Diabetes Candidate Genes by Integrating Genome-Wide Association Data, Protein-Protein Interactions, and Human Pancreatic Islet Gene Expression (Q30002303) (← links)
- Protein-protein interactions: analysis and prediction (Q30002405) (← links)
- Virus-host interactions: from systems biology to translational research (Q30378653) (← links)
- HAPPI: an online database of comprehensive human annotated and predicted protein interactions (Q30378866) (← links)
- The closely related RNA helicases, UAP56 and URH49, preferentially form distinct mRNA export machineries and coordinately regulate mitotic progression (Q30496034) (← links)
- ResponseNet2.0: Revealing signaling and regulatory pathways connecting your proteins and genes--now with human data (Q30647117) (← links)
- Can modular analysis identify disease-associated candidate genes for therapeutics? (Q30865412) (← links)
- Discovering gene re-ranking efficiency and conserved gene-gene relationships derived from gene co-expression network analysis on breast cancer data. (Q31047698) (← links)
- Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer (Q31086270) (← links)
- Data-Driven Metabolic Pathway Compositions Enhance Cancer Survival Prediction (Q31133387) (← links)
- The cytoskeletal protein RHAMM and ERK1/2 activity maintain the pluripotency of murine embryonic stem cells (Q31137596) (← links)
- Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targets (Q33347888) (← links)
- Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability (Q33358309) (← links)
- The evolving transcriptome of head and neck squamous cell carcinoma: a systematic review (Q33369427) (← links)
- ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining (Q33369621) (← links)
- Biological processes, properties and molecular wiring diagrams of candidate low-penetrance breast cancer susceptibility genes (Q33394388) (← links)
- A module-based analytical strategy to identify novel disease-associated genes shows an inhibitory role for interleukin 7 Receptor in allergic inflammation (Q33409104) (← links)
- Bridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity (Q33411281) (← links)
- POINeT: protein interactome with sub-network analysis and hub prioritization (Q33432360) (← links)
- Next-generation transcriptome sequencing of the premenopausal breast epithelium using specimens from a normal human breast tissue bank. (Q33456377) (← links)
- Integrating proteomic, transcriptional, and interactome data reveals hidden components of signaling and regulatory networks (Q33488155) (← links)
- Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function (Q33503883) (← links)
- Network analysis of genes regulated in renal diseases: implications for a molecular-based classification (Q33504378) (← links)
- Mechanism-anchored profiling derived from epigenetic networks predicts outcome in acute lymphoblastic leukemia (Q33504384) (← links)