Biehl M - Search Results

1

The somatic genomic landscape of chromophobe renal cell carcinoma.

Davis CF, Ricketts CJ, Wang M, Yang L, Cherniack AD, Shen H, Buhay C, Kang H, Kim SC, Fahey CC, Hacker KE, Bhanot G, Gordenin DA, Chu A, Gunaratne PH, Biehl M, Seth S, Kaipparettu BA, Bristow CA, Donehower LA, Wallen EM, Smith AB, Tickoo SK, Tamboli P, Reuter V, Schmidt LS, Hsieh JJ, Choueiri TK, Hakimi AA; The Cancer Genome Atlas Research Network; Chin L, Meyerson M, Kucherlapati R, Park WY, Robertson AG, Laird PW, Henske EP, Kwiatkowski DJ, Park PJ, Morgan M, Shuch B, Muzny D, Wheeler DA, Linehan WM, Gibbs RA, Rathmell WK, Creighton CJ. Davis CF, et al. Among authors: biehl m. Cancer Cell. 2014 Sep 8;26(3):319-330. doi: 10.1016/j.ccr.2014.07.014. Epub 2014 Aug 21. Cancer Cell. 2014. PMID: 25155756 Free PMC article.

2

Tissue- and development-stage-specific mRNA and heterogeneous CNV signatures of human ribosomal proteins in normal and cancer samples.

Panda A, Yadav A, Yeerna H, Singh A, Biehl M, Lux M, Schulz A, Klecha T, Doniach S, Khiabanian H, Ganesan S, Tamayo P, Bhanot G. Panda A, et al. Among authors: biehl m. Nucleic Acids Res. 2020 Jul 27;48(13):7079-7098. doi: 10.1093/nar/gkaa485. Nucleic Acids Res. 2020. PMID: 32525984 Free PMC article.

3

Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets.

Hormoz S, Bhanot G, Biehl M, Bilal E, Meyer P, Norel R, Rhrissorrakrai K, Dayarian A. Hormoz S, et al. Among authors: biehl m. Bioinformatics. 2015 Feb 15;31(4):492-500. doi: 10.1093/bioinformatics/btu569. Epub 2014 Aug 24. Bioinformatics. 2015. PMID: 25152231 Free PMC article.

4

Inter-species prediction of protein phosphorylation in the sbv IMPROVER species translation challenge.

Biehl M, Sadowski P, Bhanot G, Bilal E, Dayarian A, Meyer P, Norel R, Rhrissorrakrai K, Zeller MD, Hormoz S. Biehl M, et al. Bioinformatics. 2015 Feb 15;31(4):453-61. doi: 10.1093/bioinformatics/btu407. Epub 2014 Jul 3. Bioinformatics. 2015. PMID: 24994890 Free PMC article.

5

Predicting protein phosphorylation from gene expression: top methods from the IMPROVER Species Translation Challenge.

Dayarian A, Romero R, Wang Z, Biehl M, Bilal E, Hormoz S, Meyer P, Norel R, Rhrissorrakrai K, Bhanot G, Luo F, Tarca AL. Dayarian A, et al. Among authors: biehl m. Bioinformatics. 2015 Feb 15;31(4):462-70. doi: 10.1093/bioinformatics/btu490. Epub 2014 Jul 23. Bioinformatics. 2015. PMID: 25061067 Free PMC article.

6

Critical assessment of automated flow cytometry data analysis techniques.

Aghaeepour N, Finak G; FlowCAP Consortium; DREAM Consortium; Hoos H, Mosmann TR, Brinkman R, Gottardo R, Scheuermann RH. Aghaeepour N, et al. Nat Methods. 2013 Mar;10(3):228-38. doi: 10.1038/nmeth.2365. Epub 2013 Feb 10. Nat Methods. 2013. PMID: 23396282 Free PMC article.

7

Effect estimate comparison between the prescription sequence symmetry analysis (PSSA) and parallel group study designs: A systematic review.

Idema DL, Wang Y, Biehl M, Horvatovich PL, Hak E. Idema DL, et al. Among authors: biehl m. PLoS One. 2018 Dec 6;13(12):e0208389. doi: 10.1371/journal.pone.0208389. eCollection 2018. PLoS One. 2018. PMID: 30521568 Free PMC article.

8

Analysis of flow cytometry data by matrix relevance learning vector quantization.

Biehl M, Bunte K, Schneider P. Biehl M, et al. PLoS One. 2013;8(3):e59401. doi: 10.1371/journal.pone.0059401. Epub 2013 Mar 18. PLoS One. 2013. PMID: 23527184 Free PMC article.

9

Window-based example selection in learning vector quantization.

Witoelar AW, Ghosh A, de Vries JJ, Hammer B, Biehl M. Witoelar AW, et al. Among authors: biehl m. Neural Comput. 2010 Nov;22(11):2924-61. doi: 10.1162/NECO_a_00030. Neural Comput. 2010. PMID: 20804387

10

Regularization in matrix relevance learning.

Schneider P, Bunte K, Stiekema H, Hammer B, Villmann T, Biehl M. Schneider P, et al. Among authors: biehl m. IEEE Trans Neural Netw. 2010 May;21(5):831-40. doi: 10.1109/TNN.2010.2042729. Epub 2010 Mar 15. IEEE Trans Neural Netw. 2010. PMID: 20236882 Free article.

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