Adaptive one-class Gaussian processes allow accurate prioritization of oncology drug targets
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Angelo Ciaramella | Michele Ceccarelli | Antonio de Falco | Zoltan Dezso | Francesco Ceccarelli | Luigi Cerulo | M. Ceccarelli | L. Cerulo | Francesco Ceccarelli | Z. Dezsö | A. Falco | A. Ciaramella
[1] M. Ceccarelli,et al. Machine learning prediction of oncology drug targets based on protein and network properties , 2019, BMC Bioinformatics.
[2] Olivier Elemento,et al. A Bayesian machine learning approach for drug target identification using diverse data types , 2019, Nature Communications.
[3] Rui-huan Gan,et al. FZD2 regulates cell proliferation and invasion in tongue squamous cell carcinoma , 2019, International journal of biological sciences.
[4] M. Kumar,et al. Publisher Correction: Microwave photons emitted by fractionally charged quasiparticles , 2019, Nature Communications.
[5] Parantu K. Shah,et al. Applications of machine learning in drug discovery and development , 2019, Nature Reviews Drug Discovery.
[6] Emanuel J. V. Gonçalves,et al. Prioritization of cancer therapeutic targets using CRISPR–Cas9 screens , 2019, Nature.
[7] M. Zhang,et al. Role of Adiponectin in prostate cancer , 2019, International braz j urol : official journal of the Brazilian Society of Urology.
[8] Damian Szklarczyk,et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets , 2018, Nucleic Acids Res..
[9] A. Osborne,et al. Major intensification of Atlantic overturning circulation at the onset of Paleogene greenhouse warmth , 2018, Nature Communications.
[10] Aviad Tsherniak,et al. Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration , 2018, Nature Communications.
[11] Jin-San Zhang,et al. Fibroblast Growth Factor 10 in Pancreas Development and Pancreatic Cancer , 2018, Front. Genet..
[12] R. Grose,et al. Emerging Roles of Fibroblast Growth Factor 10 in Cancer , 2018, Front. Genet..
[13] Tingting Fu,et al. Therapeutic target database update 2018: enriched resource for facilitating bench-to-clinic research of targeted therapeutics , 2017, Nucleic Acids Res..
[14] Johan Lennartsson,et al. The PDGF/PDGFR pathway as a drug target. , 2017, Molecular aspects of medicine.
[15] N. Greig,et al. Adiponectin as a Potential Therapeutic Target for Prostate Cancer. , 2017, Current pharmaceutical design.
[16] F. Bertucci,et al. Characterization and Targeting of Platelet-Derived Growth Factor Receptor alpha (PDGFRA) in Inflammatory Breast Cancer (IBC)1 , 2017, Neoplasia.
[17] Hyunju Lee,et al. In silico re-identification of properties of drug target proteins , 2017, BMC Bioinformatics.
[18] A. Harris,et al. Role of Delta-like 4 in Jagged1-induced tumour angiogenesis and tumour growth , 2017, Oncotarget.
[19] A. Bauer,et al. Epiregulin is required for lung tumor promotion in a murine two‐stage carcinogenesis model , 2017, Molecular carcinogenesis.
[20] S. Durum,et al. Therapeutic targeting of IL-7Rα signaling pathways in ALL treatment. , 2016, Blood.
[21] Paul D. Gader,et al. One-Class Gaussian Process for Possibilistic Classification Using Imaging Spectroscopy , 2016, IEEE Geoscience and Remote Sensing Letters.
[22] Artem Sokolov,et al. One-Class Detection of Cell States in Tumor Subtypes , 2016, PSB.
[23] M. Schroeder,et al. Drug target prioritization by perturbed gene expression and network information , 2015, Scientific Reports.
[24] N. Sunaga,et al. Epiregulin as a therapeutic target in non-small-cell lung cancer , 2015, Lung Cancer.
[25] Huangang Wang,et al. Hyperparameter Selection for Gaussian Process One-Class Classification , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[26] Nannan Li,et al. Anomaly Detection in Video Surveillance via Gaussian Process , 2015, Int. J. Pattern Recognit. Artif. Intell..
[27] J. Kitajewski,et al. NOTCH decoys that selectively block DLL/NOTCH or JAG/NOTCH disrupt angiogenesis by unique mechanisms to inhibit tumor growth. , 2015, Cancer discovery.
[28] Zhuowen Tu,et al. Similarity network fusion for aggregating data types on a genomic scale , 2014, Nature Methods.
[29] C. Heldin,et al. Targeting the PDGF signaling pathway in tumor treatment , 2013, Cell Communication and Signaling.
[30] Joachim Denzler,et al. One-class classification with Gaussian processes , 2010, Pattern Recognit..
[31] J. Scannell,et al. Diagnosing the decline in pharmaceutical R&D efficiency , 2012, Nature Reviews Drug Discovery.
[32] Trevor Darrell,et al. Gaussian Processes for Object Categorization , 2010, International Journal of Computer Vision.
[33] Charles Elkan,et al. Learning gene regulatory networks from only positive and unlabeled data , 2010, BMC Bioinformatics.
[34] Haibo He,et al. Learning from Imbalanced Data , 2009, IEEE Transactions on Knowledge and Data Engineering.
[35] Andrew J. Doig,et al. Properties and identification of human protein drug targets , 2009, Bioinform..
[36] Charles Elkan,et al. Learning classifiers from only positive and unlabeled data , 2008, KDD.
[37] Robert P. W. Duin,et al. Support Vector Data Description , 2004, Machine Learning.
[38] Bernhard Schölkopf,et al. Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.
[39] Rolf Apweiler,et al. The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000 , 2000, Nucleic Acids Res..
[40] Claire O'Donovan,et al. The SWISS-PROT protein sequence data bank and its supplement TrEMBL in 1999 , 1999, Nucleic Acids Res..
[41] A. Wayne Whitney,et al. A Direct Method of Nonparametric Measurement Selection , 1971, IEEE Transactions on Computers.