Gang Peng, PhD

• Angus Nairn
• Curt Scharfe
• Hongyu Zhao
• Kenneth Williams
• Neeru Gandotra
• TuKiet Lam

Infant, Newborn, Diseases; Biostatistics

Bioinformatics; Genetics, Genomics, Epigenetics

• Reducing False-Positive Results in Newborn Screening Using Machine Learning.Peng G, Tang Y, Cowan TM, Enns GM, Zhao H, Scharfe C. Reducing False-Positive Results in Newborn Screening Using Machine Learning. International Journal Of Neonatal Screening 2020, 6.
• Ethnic variability in newborn metabolic screening markers associated with false-positive outcomes.Peng G, Tang Y, Gandotra N, Enns GM, Cowan TM, Zhao H, Scharfe C. Ethnic variability in newborn metabolic screening markers associated with false-positive outcomes. Journal Of Inherited Metabolic Disease 2020, 43:934-943.
• Timing of Newborn Blood Collection Alters Metabolic Disease Screening Performance.Peng G, Tang Y, Cowan TM, Zhao H, Scharfe C. Timing of Newborn Blood Collection Alters Metabolic Disease Screening Performance. Frontiers In Pediatrics 2020, 8:623184.
• Combining newborn metabolic and DNA analysis for second-tier testing of methylmalonic acidemia.Peng G, Shen P, Gandotra N, Le A, Fung E, Jelliffe-Pawlowski L, Davis RW, Enns GM, Zhao H, Cowan TM, Scharfe C. Combining newborn metabolic and DNA analysis for second-tier testing of methylmalonic acidemia. Genetics In Medicine : Official Journal Of The American College Of Medical Genetics 2019, 21:896-903.
• Elevated methylmalonic acidemia (MMA) screening markers in Hispanic and preterm newborns.Peng G, de Fontnouvelle CA, Enns GM, Cowan TM, Zhao H, Scharfe C. Elevated methylmalonic acidemia (MMA) screening markers in Hispanic and preterm newborns. Molecular Genetics And Metabolism 2019, 126:39-42.
• ProteomicsBrowser: MS/proteomics data visualization and investigation.Peng G, Wilson R, Tang Y, Lam TT, Nairn AC, Williams K, Zhao H. ProteomicsBrowser: MS/proteomics data visualization and investigation. Bioinformatics (Oxford, England) 2019, 35:2313-2314.
• Data-Independent Acquisition and Parallel Reaction Monitoring Mass Spectrometry Identification of Serum Biomarkers for Ovarian Cancer.Rauniyar N, Peng G, Lam TT, Zhao H, Mor G, Williams KR. Data-Independent Acquisition and Parallel Reaction Monitoring Mass Spectrometry Identification of Serum Biomarkers for Ovarian Cancer. Biomarker Insights 2017, 12:1177271917710948.
• Estimating TP53 Mutation Carrier Probability in Families with Li-Fraumeni Syndrome Using LFSPRO.Peng G, Bojadzieva J, Ballinger ML, Li J, Blackford AL, Mai PL, Savage SA, Thomas DM, Strong LC, Wang W. Estimating TP53 Mutation Carrier Probability in Families with Li-Fraumeni Syndrome Using LFSPRO. Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology 2017, 26:837-844.
• FamSeq: a variant calling program for family-based sequencing data using graphics processing units.Peng G, Fan Y, Wang W. FamSeq: a variant calling program for family-based sequencing data using graphics processing units. PLoS Computational Biology 2014, 10:e1003880.
• Rare variant detection using family-based sequencing analysis.Peng G, Fan Y, Palculict TB, Shen P, Ruteshouser EC, Chi AK, Davis RW, Huff V, Scharfe C, Wang W. Rare variant detection using family-based sequencing analysis. Proceedings Of The National Academy Of Sciences Of The United States Of America 2013, 110:3985-90.
• Gene and pathway-based second-wave analysis of genome-wide association studies.Peng G, Luo L, Siu H, Zhu Y, Hu P, Hong S, Zhao J, Zhou X, Reveille JD, Jin L, Amos CI, Xiong M. Gene and pathway-based second-wave analysis of genome-wide association studies. European Journal Of Human Genetics : EJHG 2010, 18:111-7.