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Connection

James Costello to Crowdsourcing

This is a "connection" page, showing publications James Costello has written about Crowdsourcing.

 
Connection Strength
 
 
 
0.785
 
  1. Golob JL, Oskotsky TT, Tang AS, Roldan A, Chung V, Ha CWY, Wong RJ, Flynn KJ, Parraga-Leo A, Wibrand C, Minot SS, Oskotsky B, Andreoletti G, Kosti I, Bletz J, Nelson A, Gao J, Wei Z, Chen G, Tang ZZ, Novielli P, Romano D, Pantaleo E, Amoroso N, Monaco A, Vacca M, De Angelis M, Bellotti R, Tangaro S, Kuntzleman A, Bigcraft I, Techtmann S, Bae D, Kim E, Jeon J, Joe S, Theis KR, Ng S, Lee YS, Diaz-Gimeno P, Bennett PR, MacIntyre DA, Stolovitzky G, Lynch SV, Albrecht J, Gomez-Lopez N, Romero R, Stevenson DK, Aghaeepour N, Tarca AL, Costello JC, Sirota M. Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research. Cell Rep Med. 2024 01 16; 5(1):101350.
    View in: PubMed
    Score: 0.224
  2. Sun D, Nguyen TM, Allaway RJ, Wang J, Chung V, Yu TV, Mason M, Dimitrovsky I, Ericson L, Li H, Guan Y, Israel A, Olar A, Pataki BA, Stolovitzky G, Guinney J, Gulko PS, Frazier MB, Chen JY, Costello JC, Bridges SL. A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis. JAMA Netw Open. 2022 08 01; 5(8):e2227423.
    View in: PubMed
    Score: 0.204
  3. Tarca AL, Pataki B?, Romero R, Sirota M, Guan Y, Kutum R, Gomez-Lopez N, Done B, Bhatti G, Yu T, Andreoletti G, Chaiworapongsa T, Hassan SS, Hsu CD, Aghaeepour N, Stolovitzky G, Csabai I, Costello JC. Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth. Cell Rep Med. 2021 06 15; 2(6):100323.
    View in: PubMed
    Score: 0.188
  4. Saez-Rodriguez J, Costello JC, Friend SH, Kellen MR, Mangravite L, Meyer P, Norman T, Stolovitzky G. Crowdsourcing biomedical research: leveraging communities as innovation engines. Nat Rev Genet. 2016 07 15; 17(8):470-86.
    View in: PubMed
    Score: 0.134
  5. Guinney J, Wang T, Laajala TD, Winner KK, Bare JC, Neto EC, Khan SA, Peddinti G, Airola A, Pahikkala T, Mirtti T, Yu T, Bot BM, Shen L, Abdallah K, Norman T, Friend S, Stolovitzky G, Soule H, Sweeney CJ, Ryan CJ, Scher HI, Sartor O, Xie Y, Aittokallio T, Zhou FL, Costello JC. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data. Lancet Oncol. 2017 01; 18(1):132-142.
    View in: PubMed
    Score: 0.034
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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