Interactive curve resolution by using latent projections in polar coordinates

Autor: Nikolaus P. Ernsting, S. A. Kovalenko, J. von Frese

Publikováno v: Journal of Chemometrics. 21:2-9

The problem of resolving bilinear two-way data into the contributions from the underlying mixture components is of great interest for all hyphenated analytical techniques. The fact that the optimal solution to this problem at least to some extent dep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0f95f6d8e4b258ca671bc3d535212649
https://doi.org/10.1002/cem.1008

A flexible classification approach with optimal generalisation performance: support vector machines

Autor: A. I. Belousov, J. von Frese, S. A. Verzakov

Publikováno v: Chemometrics and Intelligent Laboratory Systems. 64:15-25

Measuring a larger number of variables simultaneously becomes more and more easy and thus widespread. Obtaining a sufficient number of training samples or measurements, on the other hand, is still time-consuming and costly in many cases. Therefore, t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::50ecd682a6e6a980803706549c7a9a38
https://doi.org/10.1016/s0169-7439(02)00046-1

The MicroArray Quality Control (MAQC)-IIII study of common practices for the development and validation of microarray-based predictive models

Autor: L. SHI, G. CAMPBELL, W. JONES, F. CAMPAGNE, Z. WEN, S. WALKER, Z. SU, T. CHU, F. GOODSAID, L. PUSZTAI, J. SHAUGHNESSY, A. OBERTHUER, R. THOMAS, R. PAULES, M. FIELDEN, B. BARLOGIE, W. CHEN, P. DU, M. FISCHER, C. FURLANELLO, B. GALLAS, X. GE, D. MEGHERBI, W. SYMMANS, M. WANG, J. ZHANG, H. BITTER, B. BRORS, P. BUSHEL, M. BYLESJO, M. CHEN, J. CHENG, J. CHOU, T. DAVISON, M. DELORENZI, Y. DENG, V. DEVANARAYAN, D. DIX, J. DOPAZO, K. DORFF, F. ELLOUMI, J. FAN, S. FAN, X. FAN, H. FANG, N. GONZALUDO, K. HESS, H. HONG, J. HUAN, R. IRIZARRY, R. JUDSON, D. JURAEVA, S. LABABIDI, C. LAMBERT, L. LI, Y. LI, Z. LI, S. LIN, G. LIU, E. LOBENHOFER, J. LUO, W. LUO, M. MCCALL, Y. NIKOLSKY, G. PENNELLO, R. PERKINS, R. PHILIP, V. POPOVICI, N. PRICE, F. QIAN, A. SCHERER, T. SHI, W. SHI, J. SUNG, D. THIERRY-MIEG, J. THIERRY-MIEG, V. THODIMA, J. TRYGG, L. VISHNUVAJJALA, S. WANG, J. WU, Y. WU, Q. XIE, W. YOUSEF, L. ZHANG, X. ZHANG, S. ZHONG, Y. ZHOU, S. ZHU, D. ARASAPPAN, W. BAO, A. LUCAS, F. BERTHOLD, R. BRENNAN, A. BUNESS, J. CATALANO, C. CHANG, R. CHEN, Y. CHENG, J. CUI, W. CZIKA, F. DEMICHELIS, X. DENG, D. DOSYMBEKOV, R. EILS, Y. FENG, J. FOSTEL, S. FULMER-SMENTEK, J. FUSCOE, L. GATTO, W. GE, D. GOLDSTEIN, L. GUO, D. HALBERT, J. HAN, S. HARRIS, C. HATZIS, D. HERMAN, J. HUANG, R. JENSEN, R. JIANG, C. JOHNSON, G. JURMAN, Y. KAHLERT, S. KHUDER, M. KOHL, J. LI, M. LI, Q. LI, S. LI, J. LIU, Y. LIU, Z. LIU, L. MENG, M. MADERA, F. MARTINEZ-MURILLO, I. MEDINA, J. MEEHAN, K. MICLAUS, R. MOFFITT, D. MONTANER, P. MUKHERJEE, G. MULLIGAN, P. NEVILLE, T. NIKOLSKAYA, B. NING, G. PAGE, J. PARKER, R. PARRY, X. PENG, R. PETERSON, J. PHAN, B. QUANZ, Y. REN, S. RICCADONNA, A. ROTER, F. SAMUELSON, M. SCHUMACHER, J. SHAMBAUGH, Q. SHI, R. SHIPPY, S. SI, A. SMALTER, C. SOTIRIOU, M. SOUKUP, F. STAEDTLER, G. STEINER, T. STOKES, Q. SUN, P. TAN, R. TANG, Z. TEZAK, B. THORN, M. TSYGANOVA, Y. TURPAZ, S. VEGA, R. VISINTAINER, J. VON FRESE, C. WANG, E. WANG, J. WANG, W. WANG, F. WESTERMANN, J. WILLEY, M. WOODS, S. WU, N. XIAO, J. XU, L. XU, L. YANG, X. ZENG, M. ZHANG, C. ZHAO, R. PURI, U. SCHERF, W. TONG, R. WOLFINGER, MAQC Consortium

Publikováno v: NATURE BIOTECHNOLOGY
r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
instname
r-CIPF: Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF)
Centro de Investigación Principe Felipe (CIPF)

Gene expression data from microarrays are being applied to predict preclinical and clinical endpoints, but the reliability of these predictions has not been established. In the MAQC-II project, 36 independent teams analyzed six microarray data sets t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0eb81fd072db5db81e074b5d3c89b532
https://fundanet.cipf.es/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=2694

Breast cancer stratification based on the expression ratio of the progesterone and estrogen receptors

Autor: T. Singer, J. von Frese, Axel Niendorf, S. Brockmoeller, C. Lindner, A. Debus, B. Padberg, K. Roeser, K. Bendrat, K. Friedrichs

Publikováno v: Journal of Clinical Oncology. 29:e11071-e11071

e11071 Background: The receptors for estrogen (ESR1) and progesterone (PGR) are widely used for risk stratification of breast cancer (BC). The corresponding proteins are routinely determined by immunohistochemistry (IHC) to categorize tumors into ESR

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::590006d04b57fff7dd335992e64820a8
https://doi.org/10.1200/jco.2011.29.15_suppl.e11071

Classification of signatures of Bovine Spongiform Encephalopathy in serum using infrared spectroscopy.

Autor: T. C. Martin, J. Moecks, A. Belooussov, S. Cawthraw, B. Dolenko, M. Eiden, J. von Frese, W. Köhler, J. Schmitt, R. Somorjai, T. Udelhoven, S. Verzakov, W. Petrich

Publikováno v: Analyst; Sep2004, Vol. 129 Issue 10, p897-901, 5p