Co-Author
This page shows the publications co-authored by Todd Golub and William Hahn.
Connection Strength
2.080
-
Defining a Cancer Dependency Map. Cell. 2017 Jul 27; 170(3):564-576.e16.
Score: 0.180
-
Genomic Copy Number Dictates a Gene-Independent Cell Response to CRISPR/Cas9 Targeting. Cancer Discov. 2016 08; 6(8):914-29.
Score: 0.166
-
Systematic Functional Interrogation of Rare Cancer Variants Identifies Oncogenic Alleles. Cancer Discov. 2016 07; 6(7):714-26.
Score: 0.165
-
Erratum: Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies. Sci Data. 2014; 1:140044.
Score: 0.149
-
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies. Sci Data. 2014; 1:140035.
Score: 0.148
-
PAK1 is a breast cancer oncogene that coordinately activates MAPK and MET signaling. Oncogene. 2012 Jul 19; 31(29):3397-408.
Score: 0.121
-
Amplification of CRKL induces transformation and epidermal growth factor receptor inhibitor resistance in human non-small cell lung cancers. Cancer Discov. 2011 Dec; 1(7):608-25.
Score: 0.121
-
Initial genome sequencing and analysis of multiple myeloma. Nature. 2011 Mar 24; 471(7339):467-72.
Score: 0.116
-
Gene expression signature-based chemical genomic prediction identifies a novel class of HSP90 pathway modulators. Cancer Cell. 2006 Oct; 10(4):321-30.
Score: 0.085
-
Androgen-induced differentiation and tumorigenicity of human prostate epithelial cells. Cancer Res. 2004 Dec 15; 64(24):8867-75.
Score: 0.075
-
Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q. Cell Rep. 2021 Jul 13; 36(2):109367.
Score: 0.059
-
A first-generation pediatric cancer dependency map. Nat Genet. 2021 04; 53(4):529-538.
Score: 0.058
-
Cancer research needs a better map. Nature. 2021 01; 589(7843):514-516.
Score: 0.057
-
Synthetic Lethal Interaction between the ESCRT Paralog Enzymes VPS4A and VPS4B in Cancers Harboring Loss of Chromosome 18q or 16q. Cell Rep. 2020 12 15; 33(11):108493.
Score: 0.057
-
Agreement between two large pan-cancer CRISPR-Cas9 gene dependency data sets. Nat Commun. 2019 12 20; 10(1):5817.
Score: 0.053
-
Small-Molecule and CRISPR Screening Converge to Reveal Receptor Tyrosine Kinase Dependencies in Pediatric Rhabdoid Tumors. Cell Rep. 2019 08 27; 28(9):2331-2344.e8.
Score: 0.052
-
Next-generation characterization of the Cancer Cell Line Encyclopedia. Nature. 2019 05; 569(7757):503-508.
Score: 0.051
-
Improved estimation of cancer dependencies from large-scale RNAi screens using model-based normalization and data integration. Nat Commun. 2018 11 02; 9(1):4610.
Score: 0.049
-
Selective gene dependencies in MYCN-amplified neuroblastoma include the core transcriptional regulatory circuitry. Nat Genet. 2018 09; 50(9):1240-1246.
Score: 0.048
-
CRISPR-Cas9 screen reveals a MYCN-amplified neuroblastoma dependency on EZH2. J Clin Invest. 2018 01 02; 128(1):446-462.
Score: 0.046
-
Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells. Nat Genet. 2017 Dec; 49(12):1779-1784.
Score: 0.046
-
MTAP deletion confers enhanced dependency on the PRMT5 arginine methyltransferase in cancer cells. Science. 2016 Mar 11; 351(6278):1214-8.
Score: 0.041
-
Whole-exome sequencing of circulating tumor cells provides a window into metastatic prostate cancer. Nat Biotechnol. 2014 May; 32(5):479-84.
Score: 0.036
-
COT drives resistance to RAF inhibition through MAP kinase pathway reactivation. Nature. 2010 Dec 16; 468(7326):968-72.
Score: 0.028
-
Proteomic and genetic approaches identify Syk as an AML target. Cancer Cell. 2009 Oct 06; 16(4):281-94.
Score: 0.026
-
Highly parallel identification of essential genes in cancer cells. Proc Natl Acad Sci U S A. 2008 Dec 23; 105(51):20380-5.
Score: 0.025
-
Transformation from committed progenitor to leukaemia stem cell initiated by MLL-AF9. Nature. 2006 Aug 17; 442(7104):818-22.
Score: 0.021
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.