Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing
about
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational researchAutomated detection of off-label drug useSemantic Web Ontology and Data Integration: a Case Study in Aiding Psychiatric Drug RepurposingChemical-induced disease relation extraction with various linguistic featuresFormalizing biomedical concepts from textual definitionsA physarum-inspired prize-collecting steiner tree approach to identify subnetworks for drug repositioningExplore Small Molecule-induced Genome-wide Transcriptional Profiles for Novel Inflammatory Bowel Disease DrugCombining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in textUsing Social Media Data to Identify Potential Candidates for Drug Repurposing: A Feasibility Study.dRiskKB: a large-scale disease-disease risk relationship knowledge base constructed from biomedical text.Wide-coverage relation extraction from MEDLINE using deep syntax.Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature.Exploring Spanish health social media for detecting drug effects.PhenoPredict: A disease phenome-wide drug repositioning approach towards schizophrenia drug discoveryTowards precision medicine-based therapies for glioblastoma: interrogating human disease genomics and mouse phenotypesA genomics-based systems approach towards drug repositioning for rheumatoid arthritis.Using classification models for the generation of disease-specific medications from biomedical literature and clinical data repository.DenguePredict: An Integrated Drug Repositioning Approach towards Drug Discovery for Dengue.Combining Human Disease Genetics and Mouse Model Phenotypes towards Drug Repositioning for Parkinson's diseaseLarge-scale combining signals from both biomedical literature and the FDA Adverse Event Reporting System (FAERS) to improve post-marketing drug safety signal detection.Cross-domain targeted ontology subsets for annotation: the case of SNOMED CORE and RxNormKRAS mutant colorectal cancer gene signatures identified angiotensin II receptor blockers as potential therapies.Informatics Support for Basic Research in Biomedicine.Generating disease-pertinent treatment vocabularies from MEDLINE citations.A method for the development of disease-specific reference standards vocabularies from textual biomedical literature resources.Literature-based discovery of new candidates for drug repurposing.Drug repurposing for glioblastoma based on molecular subtypes.The prescribable drugs with efficacy in experimental epilepsies (PDE3) database for drug repurposing research in epilepsy.A two-tiered unsupervised clustering approach for drug repositioning through heterogeneous data integration.Drug repositioning for prostate cancer: using a data-driven approach to gain new insights.
P2860
Q21146739-B0767B14-1CF9-401E-9D73-2F02927403D1Q28539923-008693B5-BD9F-40C7-B306-9B29C8789B99Q28596953-2A72D24E-6B51-49B6-B9FD-751934359686Q28601132-E3238FF3-22AB-4CDF-B041-9CE45D703F4DQ28647938-15E24064-DBBB-4B28-BD57-80FD0D40675CQ28818655-FF5DAAD0-C04E-4D6D-B2C1-CC52AC30F6EBQ28828685-73608907-F899-425D-8BCF-3380D75F53A8Q28830244-72A28750-AB79-4E02-A7DD-C7B08FDF7F42Q31108612-06F63C44-D1F5-4607-B57D-691313978C73Q35146179-A503EA39-7FAD-4F06-A942-D545DF4BCEA9Q35410381-39FC9F51-9A97-46DB-A1A1-D907D89833C5Q35477321-46A7A1B8-E91E-46BF-8DFB-1233F44FEC6AQ35671300-5B6707EE-FB4D-4CAC-BAFF-58253AE12DB1Q36109996-3B2DB3AB-39C2-43C9-A029-B9706FBCD593Q36111611-0B71EEB6-E732-435D-A35D-6973B6434BBBQ36111821-D95320A9-3492-4DAE-AD58-1FE73EEA2524Q36354549-D02957FB-EB79-4223-8E61-7982F5D4C322Q36613148-35C50F2D-F7E5-4E1A-A788-FBFCF805E31CQ36613610-40BCCCE6-5127-4AEB-97E9-ABFD5F3FA0C1Q37531836-D31CE97C-BA7D-4989-AD5B-269D17583D4AQ37633341-4A047103-BCAA-489B-82C8-BCD6B78F9199Q37709450-917C3683-C601-459F-A5F2-13993C0C49D3Q38371711-20D133F0-45AF-4AA7-92F4-8845BB161459Q38384471-E98F958D-FD21-4018-A724-AC2C5227C940Q38449922-B3F1C494-8435-4F48-AC92-8433C9D47564Q38817541-9A2588B8-1953-4D98-A334-F5173623027FQ39327459-DDF031A1-77A3-4222-B07E-AB3E6427983EQ50010969-639BBA3F-B5DD-4FCC-8E97-305649E21822Q52593454-77ECF862-D690-47A1-8DE5-B2447B8246A0Q54964064-FB20AC1D-2BFC-4DC9-99FD-A217E656A76C
P2860
Large-scale extraction of accurate drug-disease treatment pairs from biomedical literature for drug repurposing
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Large-scale extraction of accu ...... iterature for drug repurposing
@ast
Large-scale extraction of accu ...... iterature for drug repurposing
@en
Large-scale extraction of accu ...... iterature for drug repurposing
@nl
type
label
Large-scale extraction of accu ...... iterature for drug repurposing
@ast
Large-scale extraction of accu ...... iterature for drug repurposing
@en
Large-scale extraction of accu ...... iterature for drug repurposing
@nl
prefLabel
Large-scale extraction of accu ...... iterature for drug repurposing
@ast
Large-scale extraction of accu ...... iterature for drug repurposing
@en
Large-scale extraction of accu ...... iterature for drug repurposing
@nl
P2860
P356
P1433
P1476
Large-scale extraction of accu ...... iterature for drug repurposing
@en
P2093
Quanqiu Wang
P2860
P2888
P356
10.1186/1471-2105-14-181
P50
P577
2013-06-06T00:00:00Z
P5875
P6179
1038043356