Machine learning guided signal enrichment for ultrasensitive plasma tumor burden monitoring

Adam J. Widman(Memorial Sloan Kettering Cancer Center), Dan A. Landau(Cornell University), Cole C. Khamnei(Cornell University), Genevieve M. Boland(Harvard University), Lavinia Spain(Royal Marsden NHS Foundation Trust), Margaret K. Callahan(Cornell University), Michael A. Postow(Memorial Sloan Kettering Cancer Center), Marcin Imieliński(NYU Langone Health), Murtaza Malbari(Cornell University), Nicolas Robine(New York Genome Center), Sarah Østrup Jensen(Aarhus University Hospital), Mads H. Rasmussen(Aarhus University), Nadia Øgaard(Aarhus University Hospital), Michael F. Berger(Memorial Sloan Kettering Cancer Center), Samra Turajlic(Royal Marsden NHS Foundation Trust), Anushri Arora(Cornell University), Nasser K. Altorki(Cornell University), Claus L. Andersen(Aarhus University), Kate Krause(Massachusetts General Hospital), Dennie T. Frederick(Broad Institute), Ronak Shah(Memorial Sloan Kettering Cancer Center), Jedd D. Wolchok(Cornell University), Theophile Langanay(Cornell University), Dina Manaa(Icahn School of Medicine at Mount Sinai), Amanda Frydendahl(Aarhus University), Srinivas Rajagopalan(Cornell University), Melissa Marton(New York Genome Center), Jake Bass(Cornell University), Ashish Saxena(Cornell University), Ryan Brand(Cornell University), Daniel Halmos(Cornell University), Jesús Alfonso López Sotélo(Cornell University), Christina Therkildsen(Hvidovre Hospital), Aditya Deshpande(Cornell University), Will Liao(New York Genome Center), Colleen Maher(Memorial Sloan Kettering Cancer Center), Jesper Nors(Aarhus University), Alexandre Pellan Cheng(École de Technologie Supérieure), Mingxuan Zhang(Cornell University), Lara Winterkorn(New York Genome Center), Minita Shah(New York Genome Center), Zoe Steinsnyder(New York Genome Center)
bioRxiv (Cold Spring Harbor Laboratory)
January 20, 2022
Cited by 17


Related Papers