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Items: 9

1.

Convergent Random Forest predictor: methodology for predicting drug response from genome-scale data applied to anti-TNF response.

Bienkowska JR, Dalgin GS, Batliwalla F, Allaire N, Roubenoff R, Gregersen PK, Carulli JP.

Genomics. 2009 Dec;94(6):423-32. doi: 10.1016/j.ygeno.2009.08.008. Epub 2009 Aug 20.

2.

Identification of novel epigenetic markers for clear cell renal cell carcinoma.

Dalgin GS, Drever M, Williams T, King T, DeLisi C, Liou LS.

J Urol. 2008 Sep;180(3):1126-30. doi: 10.1016/j.juro.2008.04.137. Epub 2008 Jul 18.

PMID:
18639284
3.

Breast cancer stratification from analysis of micro-array data of micro-dissected specimens.

Alexe G, Dalgin GS, Scanfeld D, Tamayo P, Mesirov JP, Ganesan S, Delisi C, Bhanot G.

Genome Inform. 2007;18:130-40.

PMID:
18546481
4.

High expression of lymphocyte-associated genes in node-negative HER2+ breast cancers correlates with lower recurrence rates.

Alexe G, Dalgin GS, Scanfeld D, Tamayo P, Mesirov JP, DeLisi C, Harris L, Barnard N, Martel M, Levine AJ, Ganesan S, Bhanot G.

Cancer Res. 2007 Nov 15;67(22):10669-76.

5.

Analysis of breast cancer progression using principal component analysis and clustering.

Alexe G, Dalgin GS, Ganesan S, Delisi C, Bhanot G.

J Biosci. 2007 Aug;32(5):1027-39.

PMID:
17914245
6.

Portraits of breast cancer progression.

Dalgin GS, Alexe G, Scanfeld D, Tamayo P, Mesirov JP, Ganesan S, DeLisi C, Bhanot G.

BMC Bioinformatics. 2007 Aug 6;8:291.

7.

Data perturbation independent diagnosis and validation of breast cancer subtypes using clustering and patterns.

Alexe G, Dalgin GS, Ramaswamy R, Delisi C, Bhanot G.

Cancer Inform. 2007 Feb 19;2:243-74.

8.

Identification and characterization of renal cell carcinoma gene markers.

Dalgin GS, Holloway DT, Liou LS, DeLisi C.

Cancer Inform. 2007 Feb 9;3:65-92.

9.

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