Jesus Gonzalez-Ferrer, Julian Lehrer, Ash O'Farrell, Benedict Paten, Mircea Teodorescu, David Haussler, Vanessa D Jonsson, Mohammed A Mostajo-Radji
SIMS: A deep-learning label transfer tool for single-cell RNA sequencing analysis
Cell genomics
often significant difference predicted computed energy performance buildings actual measured energy use buildings operational article reviews literature performance gap discerns three main types gap 1 firstprinciple predictions measurements 2 machine learning measurements 3 predictions display certificates legislation presents pilot study attempts initial probabilistic probe performance gap findings pilot study used identify number key issues need addressed within future investigations performance gap general especially fact performance gap function time external conditions paper concludes performance gap bridged broad coordinated approach combines model validation verification improved data collection predictions better forecasting change industry practice