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Bang Wong

Massachusetts Institute of Technology · US
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Area of research
Molecular Biology · Cancer Research
Research interest
Research interests include Biology, Computational biology, Cancer, Cancer research, Cell culture, and Gene.
h-index
citations
9,704
works
16
NIH funding
primary concept
email

Recent publications

Discovering the anticancer potential of non-oncology drugs by systematic viability profiling
Nature Cancer 2020cited by 872position: middledoi
Genetic and transcriptional evolution alters cancer cell line drug response
Nature 2018cited by 935position: middledoi
GeNets: a unified web platform for network-based genomic analyses
Nature Methods 2018cited by 61position: middledoi
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles
Cell 2017cited by 3,651position: middledoi
The Drug Repurposing Hub: a next-generation drug library and information resource
Nature Medicine 2017cited by 1,084position: middledoi
Patient-derived xenografts undergo mouse-specific tumor evolution
Nature Genetics 2017cited by 714position: middledoi
High-throughput identification of genotype-specific cancer vulnerabilities in mixtures of barcoded tumor cell lines
Nature Biotechnology 2016cited by 379position: middledoi
High-throughput Phenotyping of Lung Cancer Somatic Mutations
Cancer Cell 2016cited by 224position: middledoi
Genetic interrogation of circulating multiple myeloma cells at single-cell resolution
Science Translational Medicine 2016cited by 152position: middledoi
The landscape of chromosomal aberrations in breast cancer mouse models reveals driver-specific routes to tumorigenesis
Nature Communications 2016cited by 54position: middledoi
Quantitative visualization of alternative exon expression from RNA-seq data
Bioinformatics 2015cited by 240position: middledoi
Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer
Nature Biotechnology 2014cited by 534position: middledoi
Sashimi plots: Quantitative visualization of alternative isoform expression from RNA-seq data
bioRxiv (Cold Spring Harbor Laboratory) 2014cited by 7position: middledoi
Tight Coordination of Protein Translation and HSF1 Activation Supports the Anabolic Malignant State
Science 2013cited by 287position: middledoi
A High-Throughput Chromatin Immunoprecipitation Approach Reveals Principles of Dynamic Gene Regulation in Mammals
Molecular Cell 2012cited by 371position: middledoi
Heat maps
Nature Methods 2012cited by 139position: lastdoi

Grants

No grants ingested yet.

Frequent collaborators

Todd R. Golub · Broad Institute6 papers (2013–2017)Jill P. Mesirov · University of California San Diego3 papers (2014–2018) · 3 papers (2013–2018)Rajiv Narayan · Massachusetts Institute of Technology3 papers (2013–2018)Joshua Gould · Broad Institute3 papers (2016–2017)Jesse S. Boehm · Massachusetts Institute of Technology3 papers (2016–2018)Gavin Ha · Fred Hutch Cancer Center3 papers (2016–2017)Aviad Tsherniak · Massachusetts Institute of Technology2 papers (2016–2018)Yarden Katz · Massachusetts Institute of Technology2 papers (2014–2015) · 2 papers (2014–2015)Eric T. Wang · Allen Institute for Brain Science2 papers (2014–2015)James Robinson · Anthony Nolan2 papers (2014–2015) · 2 papers (2014–2015)Uri Ben‐David · Tel Aviv University2 papers (2016–2017)Edoardo M. Airoldi · Temple University2 papers (2014–2015) · 2 papers (2014–2015)Christopher B. Burge · IIT@MIT2 papers (2014–2015)Arthur Liberzon · Massachusetts Institute of Technology1 papers (2018–2018)Andrew L. Kung · Multimeric Biotherapeutics (United States)1 papers (2016–2016) · 1 papers (2016–2016)
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