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Items: 1 to 50 of 120

1.

Sulforaphane reduces hepatic glucose production and improves glucose control in patients with type 2 diabetes.

Axelsson AS, Tubbs E, Mecham B, Chacko S, Nenonen HA, Tang Y, Fahey JW, Derry JMJ, Wollheim CB, Wierup N, Haymond MW, Friend SH, Mulder H, Rosengren AH.

Sci Transl Med. 2017 Jun 14;9(394). pii: eaah4477. doi: 10.1126/scitranslmed.aah4477.

PMID:
28615356
2.

Crowdsourcing biomedical research: leveraging communities as innovation engines.

Saez-Rodriguez J, Costello JC, Friend SH, Kellen MR, Mangravite L, Meyer P, Norman T, Stolovitzky G.

Nat Rev Genet. 2016 Jul 15;17(8):470-86. doi: 10.1038/nrg.2016.69. Review.

3.

A Crowdsourcing Approach to Developing and Assessing Prediction Algorithms for AML Prognosis.

Noren DP, Long BL, Norel R, Rrhissorrakrai K, Hess K, Hu CW, Bisberg AJ, Schultz A, Engquist E, Liu L, Lin X, Chen GM, Xie H, Hunter GA, Boutros PC, Stepanov O; DREAM 9 AML-OPC Consortium, Norman T, Friend SH, Stolovitzky G, Kornblau S, Qutub AA.

PLoS Comput Biol. 2016 Jun 28;12(6):e1004890. doi: 10.1371/journal.pcbi.1004890. eCollection 2016 Jun.

4.

CANCER. The cancer predisposition revolution.

Malkin D, Garber JE, Strong LC, Friend SH.

Science. 2016 May 27;352(6289):1052-3. doi: 10.1126/science.aag0832. No abstract available.

PMID:
27230363
5.

The Use of Smartphones for Health Research.

Dorsey ER, Yvonne Chan YF, McConnell MV, Shaw SY, Trister AD, Friend SH.

Acad Med. 2017 Feb;92(2):157-160. doi: 10.1097/ACM.0000000000001205.

PMID:
27119325
6.

Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease.

Allen GI, Amoroso N, Anghel C, Balagurusamy V, Bare CJ, Beaton D, Bellotti R, Bennett DA, Boehme KL, Boutros PC, Caberlotto L, Caloian C, Campbell F, Chaibub Neto E, Chang YC, Chen B, Chen CY, Chien TY, Clark T, Das S, Davatzikos C, Deng J, Dillenberger D, Dobson RJ, Dong Q, Doshi J, Duma D, Errico R, Erus G, Everett E, Fardo DW, Friend SH, Fröhlich H, Gan J, St George-Hyslop P, Ghosh SS, Glaab E, Green RC, Guan Y, Hong MY, Huang C, Hwang J, Ibrahim J, Inglese P, Iyappan A, Jiang Q, Katsumata Y, Kauwe JS, Klein A, Kong D, Krause R, Lalonde E, Lauria M, Lee E, Lin X, Liu Z, Livingstone J, Logsdon BA, Lovestone S, Ma TW, Malhotra A, Mangravite LM, Maxwell TJ, Merrill E, Nagorski J, Namasivayam A, Narayan M, Naz M, Newhouse SJ, Norman TC, Nurtdinov RN, Oyang YJ, Pawitan Y, Peng S, Peters MA, Piccolo SR, Praveen P, Priami C, Sabelnykova VY, Senger P, Shen X, Simmons A, Sotiras A, Stolovitzky G, Tangaro S, Tateo A, Tung YA, Tustison NJ, Varol E, Vradenburg G, Weiner MW, Xiao G, Xie L, Xie Y, Xu J, Yang H, Zhan X, Zhou Y, Zhu F, Zhu H, Zhu S; Alzheimer's Disease Neuroimaging Initiative.

Alzheimers Dement. 2016 Jun;12(6):645-53. doi: 10.1016/j.jalz.2016.02.006. Epub 2016 Apr 11.

7.

Analysis of 589,306 genomes identifies individuals resilient to severe Mendelian childhood diseases.

Chen R, Shi L, Hakenberg J, Naughton B, Sklar P, Zhang J, Zhou H, Tian L, Prakash O, Lemire M, Sleiman P, Cheng WY, Chen W, Shah H, Shen Y, Fromer M, Omberg L, Deardorff MA, Zackai E, Bobe JR, Levin E, Hudson TJ, Groop L, Wang J, Hakonarson H, Wojcicki A, Diaz GA, Edelmann L, Schadt EE, Friend SH.

Nat Biotechnol. 2016 May;34(5):531-8. doi: 10.1038/nbt.3514. Epub 2016 Apr 11.

PMID:
27065010
8.

First, design for data sharing.

Wilbanks J, Friend SH.

Nat Biotechnol. 2016 Apr;34(4):377-9. doi: 10.1038/nbt.3516. No abstract available.

PMID:
26939011
9.

The mPower study, Parkinson disease mobile data collected using ResearchKit.

Bot BM, Suver C, Neto EC, Kellen M, Klein A, Bare C, Doerr M, Pratap A, Wilbanks J, Dorsey ER, Friend SH, Trister AD.

Sci Data. 2016 Mar 3;3:160011. doi: 10.1038/sdata.2016.11.

10.

Smartphones as new tools in the management and understanding of Parkinson's disease.

Trister AD, Dorsey ER, Friend SH.

NPJ Parkinsons Dis. 2016 Mar 3;2:16006. doi: 10.1038/npjparkd.2016.6. eCollection 2016. No abstract available.

11.

PERSONALIZED HYPOTHESIS TESTS FOR DETECTING MEDICATION RESPONSE IN PARKINSON DISEASE PATIENTS USING iPHONE SENSOR DATA.

Chaibub Neto E, Bot BM, Perumal T, Omberg L, Guinney J, Kellen M, Klein A, Friend SH, Trister AD.

Pac Symp Biocomput. 2016;21:273-84.

12.

The consensus molecular subtypes of colorectal cancer.

Guinney J, Dienstmann R, Wang X, de Reyniès A, Schlicker A, Soneson C, Marisa L, Roepman P, Nyamundanda G, Angelino P, Bot BM, Morris JS, Simon IM, Gerster S, Fessler E, De Sousa E Melo F, Missiaglia E, Ramay H, Barras D, Homicsko K, Maru D, Manyam GC, Broom B, Boige V, Perez-Villamil B, Laderas T, Salazar R, Gray JW, Hanahan D, Tabernero J, Bernards R, Friend SH, Laurent-Puig P, Medema JP, Sadanandam A, Wessels L, Delorenzi M, Kopetz S, Vermeulen L, Tejpar S.

Nat Med. 2015 Nov;21(11):1350-6. doi: 10.1038/nm.3967. Epub 2015 Oct 12.

13.

App-enabled trial participation: Tectonic shift or tepid rumble?

Friend SH.

Sci Transl Med. 2015 Jul 22;7(297):297ed10. doi: 10.1126/scitranslmed.aab1206. No abstract available.

14.

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection.

Ewing AD, Houlahan KE, Hu Y, Ellrott K, Caloian C, Yamaguchi TN, Bare JC, P'ng C, Waggott D, Sabelnykova VY; ICGC-TCGA DREAM Somatic Mutation Calling Challenge participants, Kellen MR, Norman TC, Haussler D, Friend SH, Stolovitzky G, Margolin AA, Stuart JM, Boutros PC.

Nat Methods. 2015 Jul;12(7):623-30. doi: 10.1038/nmeth.3407. Epub 2015 May 18.

15.

Impact of centralization on aCGH-based genomic profiles for precision medicine in oncology.

Commo F, Ferté C, Soria JC, Friend SH, André F, Guinney J.

Ann Oncol. 2015 Mar;26(3):582-8. doi: 10.1093/annonc/mdu582. Epub 2014 Dec 23.

16.

Translational genomics. Clues from the resilient.

Friend SH, Schadt EE.

Science. 2014 May 30;344(6187):970-2. doi: 10.1126/science.1255648. No abstract available.

PMID:
24876479
17.

Global optimization of somatic variant identification in cancer genomes with a global community challenge.

Boutros PC, Ewing AD, Ellrott K, Norman TC, Dang KK, Hu Y, Kellen MR, Suver C, Bare JC, Stein LD, Spellman PT, Stolovitzky G, Friend SH, Margolin AA, Stuart JM.

Nat Genet. 2014 Apr;46(4):318-319. doi: 10.1038/ng.2932. No abstract available.

18.

Systematic assessment of analytical methods for drug sensitivity prediction from cancer cell line data.

Jang IS, Neto EC, Guinney J, Friend SH, Margolin AA.

Pac Symp Biocomput. 2014:63-74.

20.

Cancer. Potential of the synthetic lethality principle.

Nijman SM, Friend SH.

Science. 2013 Nov 15;342(6160):809-11. doi: 10.1126/science.1244669. No abstract available.

PMID:
24233712
21.

Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas.

Omberg L, Ellrott K, Yuan Y, Kandoth C, Wong C, Kellen MR, Friend SH, Stuart J, Liang H, Margolin AA.

Nat Genet. 2013 Oct;45(10):1121-6. doi: 10.1038/ng.2761.

22.

Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology.

Ferté C, Trister AD, Huang E, Bot BM, Guinney J, Commo F, Sieberts S, André F, Besse B, Soria JC, Friend SH.

Clin Cancer Res. 2013 Aug 15;19(16):4315-25. doi: 10.1158/1078-0432.CCR-12-3937. Epub 2013 Jun 18. Review.

23.

Improving breast cancer survival analysis through competition-based multidimensional modeling.

Bilal E, Dutkowski J, Guinney J, Jang IS, Logsdon BA, Pandey G, Sauerwine BA, Shimoni Y, Moen Vollan HK, Mecham BH, Rueda OM, Tost J, Curtis C, Alvarez MJ, Kristensen VN, Aparicio S, Børresen-Dale AL, Caldas C, Califano A, Friend SH, Ideker T, Schadt EE, Stolovitzky GA, Margolin AA.

PLoS Comput Biol. 2013;9(5):e1003047. doi: 10.1371/journal.pcbi.1003047. Epub 2013 May 9.

24.

Crowdsourcing genetic prediction of clinical utility in the Rheumatoid Arthritis Responder Challenge.

Plenge RM, Greenberg JD, Mangravite LM, Derry JM, Stahl EA, Coenen MJ, Barton A, Padyukov L, Klareskog L, Gregersen PK, Mariette X, Moreland LW, Bridges SL Jr, de Vries N, Huizinga TW, Guchelaar HJ; International Rheumatoid Arthritis Consortium (INTERACT), Friend SH, Stolovitzky G.

Nat Genet. 2013 May;45(5):468-9. doi: 10.1038/ng.2623. No abstract available.

25.

Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer.

Margolin AA, Bilal E, Huang E, Norman TC, Ottestad L, Mecham BH, Sauerwine B, Kellen MR, Mangravite LM, Furia MD, Vollan HK, Rueda OM, Guinney J, Deflaux NA, Hoff B, Schildwachter X, Russnes HG, Park D, Vang VO, Pirtle T, Youseff L, Citro C, Curtis C, Kristensen VN, Hellerstein J, Friend SH, Stolovitzky G, Aparicio S, Caldas C, Børresen-Dale AL.

Sci Transl Med. 2013 Apr 17;5(181):181re1. doi: 10.1126/scitranslmed.3006112.

26.

Metcalfe's law and the biology information commons.

Friend SH, Norman TC.

Nat Biotechnol. 2013 Apr;31(4):297-303. doi: 10.1038/nbt.2555. No abstract available.

PMID:
23563423
27.

Developing predictive molecular maps of human disease through community-based modeling.

Derry JM, Mangravite LM, Suver C, Furia MD, Henderson D, Schildwachter X, Bot B, Izant J, Sieberts SK, Kellen MR, Friend SH.

Nat Genet. 2012 Jan 27;44(2):127-30. doi: 10.1038/ng.1089. No abstract available.

28.

Leveraging crowdsourcing to facilitate the discovery of new medicines.

Norman TC, Bountra C, Edwards AM, Yamamoto KR, Friend SH.

Sci Transl Med. 2011 Jun 22;3(88):88mr1. doi: 10.1126/scitranslmed.3002678.

PMID:
21697527
29.

Point: Are we prepared for the future doctor visit?

Friend SH, Ideker T.

Nat Biotechnol. 2011 Mar;29(3):215-8. doi: 10.1038/nbt.1794. No abstract available.

PMID:
21390021
30.

Predictive, personalized, preventive, participatory (P4) cancer medicine.

Hood L, Friend SH.

Nat Rev Clin Oncol. 2011 Mar;8(3):184-7. doi: 10.1038/nrclinonc.2010.227. Review.

PMID:
21364692
31.

Opening up to precompetitive collaboration.

Altshuler JS, Balogh E, Barker AD, Eck SL, Friend SH, Ginsburg GS, Herbst RS, Nass SJ, Streeter CM, Wagner JA.

Sci Transl Med. 2010 Oct 6;2(52):52cm26. doi: 10.1126/scitranslmed.3001515.

PMID:
20926831
32.

Something in common.

Friend SH.

Sci Transl Med. 2010 Jul 14;2(40):40ed6. doi: 10.1126/scitranslmed.3001280. No abstract available.

33.

The need for precompetitive integrative bionetwork disease model building.

Friend SH.

Clin Pharmacol Ther. 2010 May;87(5):536-9. doi: 10.1038/clpt.2010.40. Review.

PMID:
20407459
34.

A network view of disease and compound screening.

Schadt EE, Friend SH, Shaywitz DA.

Nat Rev Drug Discov. 2009 Apr;8(4):286-95. doi: 10.1038/nrd2826. Review.

PMID:
19337271
35.

Accelerating drug discovery: Open source cancer cell biology?

Friend SH, Dai H.

Cancer Cell. 2006 Nov;10(5):349-51.

36.

Small interfering RNA screens reveal enhanced cisplatin cytotoxicity in tumor cells having both BRCA network and TP53 disruptions.

Bartz SR, Zhang Z, Burchard J, Imakura M, Martin M, Palmieri A, Needham R, Guo J, Gordon M, Chung N, Warrener P, Jackson AL, Carleton M, Oatley M, Locco L, Santini F, Smith T, Kunapuli P, Ferrer M, Strulovici B, Friend SH, Linsley PS.

Mol Cell Biol. 2006 Dec;26(24):9377-86. Epub 2006 Sep 25.

37.

Emerging approaches in molecular profiling affecting oncology drug discovery.

Friend SH.

Cold Spring Harb Symp Quant Biol. 2005;70:445-8. Review.

PMID:
16869782
38.

Cancer biomarkers--an invitation to the table.

Dalton WS, Friend SH.

Science. 2006 May 26;312(5777):1165-8.

PMID:
16728629
39.

How molecular profiling could revolutionize drug discovery.

Stoughton RB, Friend SH.

Nat Rev Drug Discov. 2005 Apr;4(4):345-50. Review.

PMID:
15789121
40.

Signatures of environmental exposures using peripheral leukocyte gene expression: tobacco smoke.

Lampe JW, Stepaniants SB, Mao M, Radich JP, Dai H, Linsley PS, Friend SH, Potter JD.

Cancer Epidemiol Biomarkers Prev. 2004 Mar;13(3):445-53.

41.

Alfred Knudson: the importance of a visionary who enables scientists.

Friend SH.

Genes Chromosomes Cancer. 2003 Dec;38(4):326-8. No abstract available.

PMID:
14566851
42.

A new paradigm for drug discovery: integrating clinical, genetic, genomic and molecular phenotype data to identify drug targets.

Schadt EE, Monks SA, Friend SH.

Biochem Soc Trans. 2003 Apr;31(2):437-43. Review.

PMID:
12653656
43.

Genetics of gene expression surveyed in maize, mouse and man.

Schadt EE, Monks SA, Drake TA, Lusis AJ, Che N, Colinayo V, Ruff TG, Milligan SB, Lamb JR, Cavet G, Linsley PS, Mao M, Stoughton RB, Friend SH.

Nature. 2003 Mar 20;422(6929):297-302.

PMID:
12646919
44.

Expression profiling predicts outcome in breast cancer.

van 't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Bernards R, Friend SH.

Breast Cancer Res. 2003;5(1):57-8. Epub 2002 Dec 4. No abstract available.

45.

A gene-expression signature as a predictor of survival in breast cancer.

van de Vijver MJ, He YD, van't Veer LJ, Dai H, Hart AA, Voskuil DW, Schreiber GJ, Peterse JL, Roberts C, Marton MJ, Parrish M, Atsma D, Witteveen A, Glas A, Delahaye L, van der Velde T, Bartelink H, Rodenhuis S, Rutgers ET, Friend SH, Bernards R.

N Engl J Med. 2002 Dec 19;347(25):1999-2009.

46.

Toxicogenomics and drug discovery: will new technologies help us produce better drugs?

Ulrich R, Friend SH.

Nat Rev Drug Discov. 2002 Jan;1(1):84-8. doi: 10.1038/nrd710. Review.

PMID:
12119613
47.

The magic of microarrays.

Friend SH, Stoughton RB.

Sci Am. 2002 Feb;286(2):44-9, 53. No abstract available.

PMID:
11828700
48.

Gene expression profiling predicts clinical outcome of breast cancer.

van 't Veer LJ, Dai H, van de Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH.

Nature. 2002 Jan 31;415(6871):530-6.

PMID:
11823860
49.

Microarrays--the 21st century divining rod?

He YD, Friend SH.

Nat Med. 2001 Jun;7(6):658-9. No abstract available.

PMID:
11385496
50.

Expression profiling using microarrays fabricated by an ink-jet oligonucleotide synthesizer.

Hughes TR, Mao M, Jones AR, Burchard J, Marton MJ, Shannon KW, Lefkowitz SM, Ziman M, Schelter JM, Meyer MR, Kobayashi S, Davis C, Dai H, He YD, Stephaniants SB, Cavet G, Walker WL, West A, Coffey E, Shoemaker DD, Stoughton R, Blanchard AP, Friend SH, Linsley PS.

Nat Biotechnol. 2001 Apr;19(4):342-7.

PMID:
11283592

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