| scholarly article | Q13442814 |
| P50 | author | Ilona Silins | Q57334548 |
| George Papamokos | Q48351057 | ||
| P2860 | cites work | Substantial contribution of extrinsic risk factors to cancer development | Q22251076 |
| IPCS framework for analyzing the relevance of a noncancer mode of action for humans | Q27921844 | ||
| Recent Advances and Emerging Applications in Text and Data Mining for Biomedical Discovery | Q28082443 | ||
| Butylbenzyl phthalate induces spermatogenic cell apoptosis in prepubertal rats. | Q52666912 | ||
| Adverse outcome pathways: From research to regulation scientific workshop report. | Q53175763 | ||
| Drug use and acute leukemia | Q79898882 | ||
| Combating environmental causes of cancer | Q83512362 | ||
| Automatic knowledge extraction from chemical structures: the case of mutagenicity prediction | Q86858212 | ||
| SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules | Q28090714 | ||
| QSAR modeling: where have you been? Where are you going to? | Q28222668 | ||
| Evaluation of carcinogenic modes of action for pesticides in fruit on the Swedish market using a text-mining tool | Q28388427 | ||
| Organochlorine pesticides and risk of endometriosis: findings from a population-based case-control study | Q28392481 | ||
| Text mining for literature review and knowledge discovery in cancer risk assessment and research | Q28482263 | ||
| Exocrine pancreatic carcinogenesis and autotaxin expression | Q28482954 | ||
| Correlation of Biological Activity of Phenoxyacetic Acids with Hammett Substituent Constants and Partition Coefficients | Q29387517 | ||
| An open source multistep model to predict mutagenicity from statistical analysis and relevant structural alerts | Q30495816 | ||
| The first step in the development of Text Mining technology for Cancer Risk Assessment: identifying and organizing scientific evidence in risk assessment literature | Q33505828 | ||
| The Ames Salmonella/microsome mutagenicity assay | Q33927851 | ||
| Mechanisms of nongenotoxic carcinogenesis and assessment of the human hazard. | Q34078049 | ||
| Chemically induced leukemia in humans | Q35035910 | ||
| A survey of current work in biomedical text mining | Q36096342 | ||
| Hormonal and Reproductive Factors and Risk of Myeloproliferative Neoplasms in Postmenopausal Women | Q36463786 | ||
| Frontiers of biomedical text mining: current progress | Q36837641 | ||
| Exogenous hormone use, reproductive history and risk of adult myeloid leukaemia. | Q37214259 | ||
| Induction of drug metabolism: species differences and toxicological relevance | Q37281839 | ||
| Critical review of preclinical approaches to evaluate the potential of immunosuppressive drugs to influence human neoplasia | Q37795414 | ||
| Mechanisms of chemical carcinogenicity and mutagenicity: a review with implications for predictive toxicology | Q37832235 | ||
| In silico methods for toxicity prediction | Q37995928 | ||
| Biomedical text mining and its applications in cancer research | Q38060426 | ||
| Nongenotoxic carcinogenicity of chemicals: mechanisms of action and early recognition through a new set of structural alerts | Q38087362 | ||
| The adverse outcome pathway concept: a pragmatic tool in toxicology. | Q38131608 | ||
| Childhood leukaemia risks: from unexplained findings near nuclear installations to recommendations for future research | Q38221033 | ||
| Predicting the carcinogenicity of chemicals with alternative approaches: recent advances | Q38223908 | ||
| Application of text mining in the biomedical domain | Q38340254 | ||
| Predicting drug metabolism: experiment and/or computation? | Q38439385 | ||
| The influence of chemical structure on the extent and sites of carcinogenesis for 522 rodent carcinogens and 55 different human carcinogen exposures | Q38470614 | ||
| Adverse Outcome Pathways-Organizing Toxicological Information to Improve Decision Making | Q38625330 | ||
| Modulation of steroidogenic gene expression and hormone synthesis in H295R cells exposed to PCP and TCP. | Q39597453 | ||
| Grouping chemicals for health risk assessment: A text mining-based case study of polychlorinated biphenyls (PCBs). | Q40327508 | ||
| IPCS conceptual framework for evaluating a mode of action for chemical carcinogenesis | Q40681312 | ||
| Predictive toxicity: grand challenges | Q42098256 | ||
| Global prevention of environmental and occupational cancer | Q42976962 | ||
| 15 million new cancer cases per year by 2020, says WHO | Q43887838 | ||
| An integrative test strategy for cancer hazard identification. | Q50856445 | ||
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | text mining | Q676880 |
| P304 | page(s) | 284 | |
| P577 | publication date | 2016-01-01 | |
| P1433 | published in | Frontiers in Pharmacology | Q2681208 |
| P1476 | title | Combining QSAR Modeling and Text-Mining Techniques to Link Chemical Structures and Carcinogenic Modes of Action | |
| P478 | volume | 7 |
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