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Cell Systems(1)
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JCO Clinical Cancer Informatics(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Neuroscience Bulletin(1)
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scopus(6)
Community Assessment of the Pbkp_redictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
ArticleAbstract: A major manifestation of cancer is the alteration of protein measurements. However, proteins are harPalabras claves:Cáncer, crowdsourcing, Genomics, Machine learning, Protein regulation, proteogenomics, proteomicsAutores:Aderinwale T., Afyounian E., Agrawal P., Ali M., Amadoz A., Azuaje F., Bachman J., Bae S., Bhalla S., Boja E., Boutros P.C., Calinawan A.P., Carbonell-Caballero J., Chakraborty P., Chaudhary K., Choi Y., Çubuk C., Dhanda S.K., Dopazo J., Elo L.L., Fenyö D., Fóthi Á., Gevaert O., Granberg K., Greiner R., Guan Y., Heo E., Hidalgo M.R., Jayaswal V., Jeon H., Jeon M., Kaczmarczyk J., Kalmady S.V., Kambara Y., Kang J., Kang K., Kaoma T., Kaur H., Kazan H., Kesar D., Kesseli J., Kim D., Kim K., Kim S., Kim S.Y., Kumar S., Lee B., Lee H., Li H., Li Z., Liu Y., Luethy R., Ma W., Mahajan S., Mahmoudian M., Muller A., Nazarov P.V., Nguyen H., Nykter M., Okuda S., Pal Singh Raghava G., Park S., Payne S.H., Petralia F., Rajapakse J.C., Rantapero T., Reva B., Roberto Vega, Rodriguez H., Ryu H., Saez-Rodriguez J., Salavert F., Saraei S., Sharma R., Siitonen A., Sokolov A., Song X., Stępniak P., Stolovitzky G., Subramanian K., Suni V., Suomi T., Tranchevent L.C., Usmani S.S., Välikangas T., Wang P., Warchoł M., Yang M., Yu H., Yu T., Zhong H.Fuentes:scopusA DREAM challenge to build pbkp_rediction models for short-term discontinuation of docetaxel in metastatic castration- resistant prostate cancer
ArticleAbstract: Purpose Docetaxel has a demonstrated survival benefit for patients with metastatic castration-resistPalabras claves:Autores:Abdallah K., Airola A., Aittokallio T., Anghel C., Ankerst D.P., Azima H., Baertsch R., Ballester P.J., Bare C., Bhandari V., Bot B.M., Buchardt A.S., Buturovic L., Cao D., Chalise P., Chang B.H.W., Cho J., Chu T.M., Conjeti S., Correia S., Costello J.C., Dai J., Dai Z., Dang C.C., Dargatz P., Delavarkhan S., Deng D., Dhanik A., Du Y., Elangovan A., Ellis S., Elo L.L., Espiritu S.M., Fan F., Farshi A.B., Freitas A., Fridley B., Fuchs C., Gofer E., Golińska A.K., Graw S., Greiner R., Guinney J., Guo J., Gupta P., Guyer A.I., Han J., Hansen N.R., Hirvonen O., Huang B., Huang C., Hwang J., Ibrahim J.G., Jayaswal V., Jeon J., Ji Z., Juvvadi D., Jyrkkiö S., Kanigel-Winner K., Katouzian A., Kazanov M.D., Khan S.A., Khayyer S., Kim D., Koestler D.C., Kokowicz F., Kondofersky I., Krstajic D., Kumar L., Kurz C., Kyan M., Laajala T.D., Laimighofer M., Lee E., Lesiński W., Li M., Li Y., Lian Q., Liang X., Lim M., Neto E.C., Persona C., Piccolo S.R., Roberto Vega, Ryan C.J., Sartor O., Scher H.I., Seyednasrollah F., Shen L., Soule H.R., Stolovitzky G., Sweeney C.J., Wang T., Winner K.K., Wolfinger R.D., Yates Coley R., Yu T., Zhou F.L.Fuentes:scopusAccurate long-range forecasting of COVID-19 mortality in the USA
ArticleAbstract: The need for improved models that can accurately pbkp_redict COVID-19 dynamics is vital to managingPalabras claves:Autores:Greiner R., Haratian A., Lewis M.A., Maleki Z., Mari Oriyad A., Meghdadi M., Ramazi P., Roberto Vega, Wang H., Wishart D.S.Fuentes:scopusFinding effective ways to (machine) learn fMRI-based classifiers from multi-site data
Conference ObjectAbstract: Machine learning techniques often require many training instances to find useful patterns, especiallPalabras claves:Batch effects, Machine learning, Multi-site fMRIAutores:Greiner R., Roberto VegaFuentes:scopusNeurocognitive Graphs of First-Episode Schizophrenia and Major Depression Based on Cognitive Features
ArticleAbstract: Neurocognitive deficits are frequently observed in patients with schizophrenia and major depressivePalabras claves:Graphical LASSO, major depressive disorder, Neurocognition, Neurocognitive graph, SchizophreniaAutores:Deng W., Greenshaw A.J., Greiner R., Hu X., Kong X., Li M., Li T., Liang S., Ma X., Roberto Vega, Wang Q.Fuentes:scopusSIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting
ArticleAbstract: Accurate forecasts of the number of newly infected people during an epidemic are critical for makingPalabras claves:covid-19, interpretable machine learning, probabilistic graphical modelsAutores:Flores L., Greiner R., Roberto VegaFuentes:scopus