ReviewInternational journal of biological sciences2018
Translational Bioinformatics for Cholangiocarcinoma: Opportunities and Challenges.
Review in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Identification of RNF150 as the hub gene associated with microsatellite instability in gastric cancer.Scientific reports · 2023Article
- Clinical Data and Biocalculation Methods of GABRD Determine the Clinical Characteristics and Immune Relevance of Colorectal Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Screening potential biomarkers of cholangiocarcinoma based on gene chip meta-analysis and small-sample experimental research.Frontiers in oncology · 2022Article
- The fourth scientific discovery paradigm for precision medicine and healthcare: Challenges ahead.Precision clinical medicine · 2021Article
- Article
- Identification of NEO1 as a prognostic biomarker and its effects on the progression of colorectal cancer.Cancer cell international · 2020Article
- Special issue on Computational Resources and Methods in Biological Sciences.International journal of biological sciences · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Translational bioinformatics is becoming a driven force and a new scientific paradigm for cancer research in the era of big data. To promote the cross-disciplinary communication and research, we take cholangiocarcinoma as an example to review the present status and the future perspectives of the bioinformatics models applied in cancer study. We first summarize the present application of computational methods to the study of cholangiocarcinoma ranged from pattern recognition of biological data, knowledge based data annotation to systems biological level modeling and clinical translation. Then the future opportunities and challenges about database or knowledge base building, novel model developing and molecular mechanism exploring as well as the intelligent decision supporting system construction for the precision diagnosis, prognosis and treatment of cholangiocarcinoma are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.