Pages that link to "Q30755333"
Jump to navigation
Jump to search
The following pages link to Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS). (Q30755333):
Displaying 40 items.
- Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data (Q23781420) (← links)
- Cancer Biology, Toxicology and Alternative Methods Development Go Hand-in-Hand (Q28549191) (← links)
- The ChEMBL database in 2017 (Q28584450) (← links)
- Metadata management for high content screening in OMERO (Q28603486) (← links)
- Systematic Quality Control Analysis of LINCS Data (Q28818488) (← links)
- The Disease Ontology: fostering interoperability between biological and clinical human disease-related data (Q30975553) (← links)
- Publisher’s Note:Abstraction for data integration:Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction (Q30976077) (← links)
- Predicting target proteins for drug candidate compounds based on drug-induced gene expression data in a chemical structure-independent manner (Q31032914) (← links)
- Characterization of transcriptional modules related to fibrosing-NAFLD progression. (Q33881352) (← links)
- Large-scale integration of small molecule-induced genome-wide transcriptional responses, Kinome-wide binding affinities and cell-growth inhibition profiles reveal global trends characterizing systems-level drug action (Q34265511) (← links)
- Systematic evaluation of connectivity map for disease indications (Q34781421) (← links)
- Detection and removal of spatial bias in multiwell assays (Q36011174) (← links)
- The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability (Q36067763) (← links)
- High motivation for exercise is associated with altered chromatin regulators of monoamine receptor gene expression in the striatum of selectively bred mice (Q36165004) (← links)
- Inferring Infection Patterns Based on a Connectivity Map of Host Transcriptional Responses (Q36217014) (← links)
- Transcriptomic profiling of human hippocampal progenitor cells treated with antidepressants and its application in drug repositioning (Q36283104) (← links)
- RegenBase: a knowledge base of spinal cord injury biology for translational research (Q36774566) (← links)
- Epigenetic pathways and glioblastoma treatment: insights from signaling cascades (Q38257711) (← links)
- Transcriptome modeling and phenotypic assays for cancer precision medicine (Q38400577) (← links)
- PLATE-Seq for genome-wide regulatory network analysis of high-throughput screens (Q38663616) (← links)
- Proteomic Screening and Lasso Regression Reveal Differential Signaling in Insulin and Insulin-like Growth Factor I (IGF1) Pathways. (Q38760614) (← links)
- TIMMA-R: an R package for predicting synergistic multi-targeted drug combinations in cancer cell lines or patient-derived samples (Q38914524) (← links)
- Drug target ontology to classify and integrate drug discovery data (Q46264677) (← links)
- The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations (Q46954616) (← links)
- Data Portal for the Library of Integrated Network-based Cellular Signatures (LINCS) program: integrated access to diverse large-scale cellular perturbation response data (Q47135849) (← links)
- Ontological representation, integration, and analysis of LINCS cell line cells and their cellular responses. (Q49530386) (← links)
- Knowledge from Small-Molecule Screening and Profiling Data (Q50456078) (← links)
- EMUDRA: Ensemble of Multiple Drug Repositioning Approaches to Improve Prediction Accuracy. (Q52311264) (← links)
- Drug Repositioning in Glioblastoma: A Pathway Perspective. (Q52608766) (← links)
- Saliva Proteomics Analysis Offers Insights on Type 1 Diabetes Pathology in a Pediatric Population. (Q55276479) (← links)
- Sustainable data and metadata management at the BD2K-LINCS Data Coordination and Integration Center. (Q55345467) (← links)
- Gene Expression Analysis Reveals Novel Gene Signatures Between Young and Old Adults in Human Prefrontal Cortex (Q58700782) (← links)
- A novel method of using Deep Belief Networks and genetic perturbation data to search for yeast signaling pathways (Q58747881) (← links)
- The GCTx format and cmap{Py, R, M, J} packages: resources for optimized storage and integrated traversal of annotated dense matrices. (Q63312920) (← links)
- OSCI: standardized stem cell ontology representation and use cases for stem cell investigation. (Q63846546) (← links)
- L1000 Viewer: A Search Engine and Web Interface for the LINCS Data Repository. (Q64939573) (← links)
- Master Regulators Connectivity Map: A Transcription Factors-Centered Approach to Drug Repositioning (Q90401057) (← links)
- Modelling the gene expression and the DNA-binding in the 3T3-L1 differentiating adipocytes (Q91757730) (← links)
- EdgeScaping: Mapping the spatial distribution of pairwise gene expression intensities (Q92451351) (← links)
- Modelling kidney disease using ontology: insights from the Kidney Precision Medicine Project (Q99557513) (← links)