Wenyi Wang
@WenyiWang4
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I study statistical genomics in cancer. Views are my own.
Houston TX
Joined April 2017
Very excited to share our paper in Nature Biotechnology today! Huge amount of work by @ShaolongCao @sxj307 @JenniferWangMD et al! It is amazing to work with many experts across cancers. Every cancer tells its own story and our metric TmS can quantify it!
nature.com
Nature Biotechnology - Total mRNA expression in cancer cells is a marker for disease progression and death.
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We found that high subclonal mutation load predicts survival & immunotherapy response in low/moderate TMB cancers-groups missed under current guidelines. This biomarker could expand access to life-saving treatments. Read at: #CancerResearch #immunotherapy.
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RT @jsb_ucla: I’ll speak on July 16 (2:30pm ET) at NSF@75: Advancing Statistical Science for a Data‑Driven World @InStatsOrg conference. My….
instats.org
This Instats seminar on NSF@75: Advancing Statistical Science for a Data‑Driven World (Free Conference) taught by American Statistical Association will help you take your research to the next level....
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RT @StatsUpAI: 🌟Statistical and AI Methods for Health Data Science Seminar Series🌟 We are thrilled to have Martin Lindquist give our first….
upenn.zoom.us
Zoom is the leader in modern enterprise cloud communications.
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DeMixSC R package is available here: See our step-by-step tutorial We provide ready-to-use benchmark data for cell-type deconvolution of bulk RNAseq from retina and ovarian cancer samples.
github.com
A computational framework for bulk RNA-seq deconvolution - wwylab/DeMixSC
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Excited to share DeMixSC for improved cell type deconvolution in heterogeneous bulk tissues accepted @genomeresearch: Using a small benchmark set, DeMixSC enables researchers to further explore tissue/tumor environment and subtype diseases in large cohort.
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RT @MDAndersonNews: An MD Anderson-led study identifies specific myeloid subsets in human immune-related heart and skeletal muscle inflamma….
mdanderson.org
The University of Texas MD Anderson Cancer Center’s Research Highlights showcases the latest breakthroughs in cancer care, research and prevention. These advances are made possible through seamless...
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Excited to share MuSE 2 for accelerated (50x) mutation calling in cancer genomes: ~5min for WES and <1hr for WGS per tumor-normal pair. We set new standards in efficiency & accuracy by combining MuSE 2 and Strelka2 using a snakemake pipeline. See paper:
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RT @MDAndersonNews: In the RE-RAFFLE study led by our Dr. Blessie Nelson, patients who had multiple tumors with RAF alterations were rechal….
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Thanks to Nam, Banu Arun and her team at the Clinical Cancer Genetics program at MDACC! And #JCO_ASCO!.
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Our work on validating risk prediction model LFSPRO on a unique patient cohort collected during genetic counseling sessions is online now on JCO: This represents an important step further to assist decision-making in families with Li-Fraumeni syndrome.
ascopubs.org
PURPOSEThere exists a barrier between developing and disseminating risk prediction models in clinical settings. We hypothesize that this barrier may be lifted by demonstrating the utility of these...
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RT @nicholas_navin: We are recruiting assistant/associate level faculty in the new Systems Biology department at MD Anderson Cancer Center….
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RT @ICSA_Statistics: Thanks to our organizers @XihongLin @tz33cu and to all the panelists @hongtuzhu1 @WenyiWang4 @Hulin_Wu @HaodaFu @bbiin….
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