W
Wenyi Wang
Researcher at University of Texas MD Anderson Cancer Center
Publications - 123
Citations - 22012
Wenyi Wang is an academic researcher from University of Texas MD Anderson Cancer Center. The author has contributed to research in topics: Cancer & Biology. The author has an hindex of 28, co-authored 92 publications receiving 16322 citations. Previous affiliations of Wenyi Wang include Johns Hopkins University & University of Texas Health Science Center at Houston.
Papers
More filters
Journal ArticleDOI
The Proposed MACRA/MIPS Threshold for Patient-Facing Encounters: What It Means for Radiologists
Andrew B. Rosenkrantz,Joshua A Hirsch,Bibb Allen,Wenyi Wang,Danny R. Hughes,Gregory N. Nicola +5 more
TL;DR: The aim of this study was to determine the impact of varying criteria on the fraction of radiologists who are likely to receive special considerations for performance assessment under MIPS.
Journal ArticleDOI
Estimating TP53 Mutation Carrier Probability in Families with Li-Fraumeni Syndrome Using LFSPRO.
Gang Peng,Jasmina Bojadzieva,Mandy L. Ballinger,Jialu Li,Amanda L. Blackford,Phuong L. Mai,Sharon A. Savage,David Thomas,Louise C. Strong,Wenyi Wang +9 more
TL;DR: LFSPRO is more broadly applicable than the current clinical criteria and may improve clinical management for individuals and families with LFS and show good performance in predicting TP53 mutations in Individuals and families in varied situations.
Posted ContentDOI
Accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling for sequencing data
Yu Fan,Liu Xi,Daniel S.T. Hughes,Jianjun Zhang,Jianhua Zhang,P. Andrew Futreal,David A. Wheeler,Wenyi Wang +7 more
TL;DR: The accuracy of MuSE is demonstrated in calling subclonal mutations in the context of large-scale tumor sequencing projects using whole exome and whole genome sequence and a sample-specific error model reflects the underlying tumor heterogeneity to greatly improve overall accuracy.
Journal ArticleDOI
FamSeq: a variant calling program for family-based sequencing data using graphics processing units.
Gang Peng,Yu Fan,Wenyi Wang +2 more
TL;DR: A program, FamSeq, which reduces both false positive and false negative rates by incorporating the pedigree information from the Mendelian genetic model into variant calling, and parallelized the computation on a graphics processing unit.
Journal ArticleDOI
Integration of transcriptional and mutational data simplifies the stratification of peripheral T-cell lymphoma
Francesco Maura,Francesco Maura,Francesco Maura,Luca Agnelli,Daniel Leongamornlert,Niccolo Bolli,Niccolo Bolli,Wing C. Chan,Anna Dodero,Cristiana Carniti,Tayla Heavican,Alessio Pellegrinelli,Giancarlo Pruneri,Adam Butler,Shriram G. Bhosle,Annalisa Chiappella,Alice Di Rocco,Pier Luigi Zinzani,Francesco Zaja,Roberto Piva,Giorgio Inghirami,Giorgio Inghirami,Wenyi Wang,Teresa Palomero,Javeed Iqbal,Antonino Neri,Peter J. Campbell,Paolo Corradini +27 more
TL;DR: The integrated analysis of clinical, mutational, and molecular data led to a simplified 19‐gene signature that retains high accuracy in differentiating the main nodal PTCL entities that was identified in an independent cohort profiled by RNA‐sequencing.