Author Correction: Resolving tissue complexity by multimodal spatial omics modeling with MISO
Kyle Coleman(Cedars-Sinai Medical Center), Mingyao Li(California University of Pennsylvania), Tae Hyun Hwang(WinnMed), Hanying Yan(University of Pennsylvania), Jian Hu(Emory University), Emma E. Furth(Hospital of the University of Pennsylvania), Alexander J. Lazar(The University of Texas MD Anderson Cancer Center), Xuyu Qian(Boston Children's Hospital), Linghua Wang(The University of Texas MD Anderson Cancer Center), Joshua D. Rabinowitz(Princeton University), Yanxiang Deng(Nantong University), Edward B. Lee(University of Pennsylvania), Melanie Loth(University of Pennsylvania), Daiwei Zhang(University of Pennsylvania), Ji‐Youn Sung(Vanderbilt University Medical Center), Jianjun Gao(Chinese General Hospital College of Nursing and Liberal Arts), Jean R. Clemenceau(Jacksonville College), Christoph A. Thaiss(Palo Alto Institute), Niklas Blank(University of Pennsylvania), Laith Z. Samarah(Princeton University), Inyeop Jang(Mayo Clinic in Florida), Isabel Barnfather(Mayo Clinic in Florida), Min‐Ji Kim(Samsung Medical Center), Jianfeng Chen(Sun Yat-sen University), Jeong Hwan Park(Seoul National University), Alexis J. Cowan(Princeton University), Jiahui Jiang(The University of Texas MD Anderson Cancer Center), Amelia Schroeder(California University of Pennsylvania)
Cited by 3
Related Papers
An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics
|Cell|2018|4k
Oncogenic Signaling Pathways in The Cancer Genome Atlas
|Cell|2018|3.4k