Pei Wang

Mount Sinai Health System - Icahn School of Medicine

One Gustave L. Levy Place

New York, NY 10029-6574

United States

SCHOLARLY PAPERS

2

DOWNLOADS

139

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Assessment of the Limits of Predictability of Protein and Phosphorylation Levels in Cancer

Number of pages: 48 Posted: 30 Mar 2020
Heidelberg University - Faculty of Biosciences, Mount Sinai Health System - Icahn School of Medicine, New York University (NYU) - Grossman School of Medicine, University of Michigan at Ann Arbor - Department of Computational Medicine and Bioinformatics, Mount Sinai Health System - Icahn School of Medicine, Mount Sinai Health System - Department of Population Health Science and Policy, Korea University - Department of Computer Science and Engineering, Korea University - Department of Computer Science and Engineering, Roswell Park Comprehensive Cancer Center - Department of Biostatistics and Bioinformatics, Korea Advanced Institute of Science and Technology (KAIST) - Department of Biological Science, Korea Advanced Institute of Science and Technology (KAIST) - Department of Biological Science, Korea Advanced Institute of Science and Technology (KAIST) - Department of Biological Science, Ardigen S.A., Ardigen S.A., Ardigen S.A., Sage Bionetworks, Mount Sinai Health System - Icahn School of Medicine, Ontario Institute for Cancer Research, Brigham Young University - Department of Biology, Mount Sinai Health System - Icahn School of Medicine, Independent, National Cancer Institute, National Cancer Institute, Mount Sinai Health System - Icahn Institute for Genomics and Multiscale Biology, University of Michigan at Ann Arbor - Department of Computational Medicine and Bioinformatics, Korea University - Department of Computer Science and Engineering, Mount Sinai Health System - Icahn School of Medicine, New York University (NYU) - Grossman School of Medicine and Heidelberg University - Institute of Computational Biomedicine
Downloads 117 (520,827)

Abstract:

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proteomics, protein regulation, cancer, machine learning, genomics

2.

Post-Anticoagulant D-Dimer Is a Highly Prognostic Biomarker of COVID-19 Mortality

Number of pages: 28 Posted: 23 Nov 2020
Mount Sinai Health System - Department of Population Health Science and Policy, Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System - Icahn School of Medicine, Institute for Healthcare Delivery Science, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences and Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, Mount Sinai Health System - Department of Population Health Science and Policy, Division of Pulmonary, Critical Care, and Sleep Medicine, Icahn School of Medicine at Mount Sinai, Icahn School of Medicine at Mount Sinai - Tisch Cancer Institute, Mount Sinai Health System - Icahn School of Medicine and Mount Sinai Health System - Tisch Cancer Institute
Downloads 22 (1,151,003)

Abstract:

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COVID-19, D-Dimer, Anticoagulation, Mortality, Biomarker