Page last updated: 2024-08-23

fenoxycarb and Liver Neoplasms

fenoxycarb has been researched along with Liver Neoplasms in 5 studies

Research

Studies (5)

TimeframeStudies, this research(%)All Research%
pre-19900 (0.00)18.7374
1990's0 (0.00)18.2507
2000's1 (20.00)29.6817
2010's2 (40.00)24.3611
2020's2 (40.00)2.80

Authors

AuthorsStudies
Akita, H; Asukai, K; Eguchi, H; Gotoh, K; Hasegawa, S; Kobayashi, S; Marubashi, S; Nagano, H; Ohue, M; Sakon, M; Takahashi, H; Wada, H; Yamada, D; Yano, M1
Beiki, Z; Jahanian, A; Yazdani, M1
Banga, JR; Henriques, D; Rocha, M; Saez-Rodriguez, J1
Cokelaer, T; Goncalves, E; Henriques, D; Lauffenburger, DA; MacNamara, A; Morris, MK; Saez-Rodriguez, J; Terfve, C; van Iersel, M1
Di Giacomo, P; Felici, G; Maceratini, R; Truemper, K1

Reviews

1 review(s) available for fenoxycarb and Liver Neoplasms

ArticleYear
"Logic-Based Medicine" Is More Feasible than "Evidence-Based Medicine" in the Local Treatment for Hepatocellular Carcinoma.
    Oncology, 2020, Volume: 98, Issue:5

    Topics: Carcinoma, Hepatocellular; Evidence-Based Medicine; Hepatectomy; Humans; Liver Neoplasms; Logic; Tomography, X-Ray Computed; Treatment Outcome

2020

Other Studies

4 other study(ies) available for fenoxycarb and Liver Neoplasms

ArticleYear
RNA secondary structured logic gates for profiling the microRNA cancer biomarkers.
    IET nanobiotechnology, 2020, Volume: 14, Issue:3

    Topics: Biomarkers, Tumor; Biosensing Techniques; Computers, Molecular; Humans; Liver Neoplasms; Logic; MicroRNAs; Molecular Diagnostic Techniques

2020
Reverse engineering of logic-based differential equation models using a mixed-integer dynamic optimization approach.
    Bioinformatics (Oxford, England), 2015, Sep-15, Volume: 31, Issue:18

    Topics: Algorithms; Bacteria; Computer Simulation; Gene Expression Regulation; Gene Regulatory Networks; Humans; Liver Neoplasms; Logic; Models, Biological; Models, Statistical; Signal Transduction; Systems Biology

2015
CellNOptR: a flexible toolkit to train protein signaling networks to data using multiple logic formalisms.
    BMC systems biology, 2012, Oct-18, Volume: 6

    Topics: Computational Biology; Data Interpretation, Statistical; Hep G2 Cells; Humans; Liver Neoplasms; Logic; Models, Biological; Proteins; Signal Transduction; Software; User-Computer Interface

2012
Application of a new logic domain method for the diagnosis of hepatocellular carcinoma.
    Studies in health technology and informatics, 2001, Volume: 84, Issue:Pt 1

    Topics: Algorithms; Artificial Intelligence; Carcinoma, Hepatocellular; Diagnosis, Computer-Assisted; Humans; Liver Neoplasms; Logic

2001