Jari Häkkinen

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  1. 2018
  2. Multidimensional transcriptomics provides detailed information about immune cell distribution an identity in HER2+ breast tumors

    Salmén, F., Vickovic, S., Larsson, L., Stenbeck, L., Johan Vallon-Christersson, Anna Ehinger, Jari Häkkinen, Åke Borg, Frisén, J., Stahl, P. & Lundeberg, J., 2018 Jun 29

    Research output: Other contributionMiscellaneous

  3. Microenvironmental control of breast cancer subtype elicited through paracrine platelet-derived growth factor-CC signaling

    Roswall, P., Bocci, M., Bartoschek, M., Li, H., Kristiansen, G., Jansson, S., Lehn, S., Sjölund, J., Reid, S., Larsson, C., Eriksson, P., Anderberg, C., Cortez, E., Saal, L. H., Orsmark-Pietras, C., Cordero, E., Haller, B. K., Häkkinen, J., Burvenich, I. J. G., Lim, E. & 7 othersOrimo, A., Mattias Höglund, Lisa Rydén, Moch, H., Scott, A. M., Eriksson, U. & Kristian Pietras, 2018 Mar 12, In : Nature Medicine. 24, p. 463–473

    Research output: Contribution to journalArticle

  4. 2017
  5. Myoepithelium assessment with p63 immunostaining in formalinfixed paraffin-embedded breast cancer tissue pre-treated with RNA-later

    Anna Ehinger, Remse, I., Lövgren, K., Cecilia Hegardt, Jari Häkkinen, Lao Saal, Johan Vallon-Christersson & Åke Borg, 2017 Sep 2, In : Virchows Archiv. 471, Supplement 1, p. 299 1 p., E-PS-02-027.

    Research output: Contribution to journalPublished meeting abstract

  6. 2016
  7. Spatial Transcriptomics. Digital Pathology to Investigate Intratumor Heterogeneity in Breast Cancer.

    Salmén, F., Vickovic, S., Jemt, A., Bergenstråhle, J., Fernandez, J., Mollbrink, A., Johan Vallon-Christersson, Johan Staaf, Jari Häkkinen, Anna Ehinger, Ponten, F., Day, B., Jafri, S., Frisén, J., Åke Borg, Lundeberg, J. & Ståhl, P., 2016 Feb 10, (Unpublished).

    Research output: Contribution to conferencePoster

  8. 2015
  9. 2014
  10. 2012
  11. Molecular microheterogeneity of prostate specific antigen in seminal fluid by mass spectrometry.

    Végvári, Á., Melinda Rezeli, Sihlbom, C., Jari Häkkinen, Carlsohn, E., Johan Malm, Hans Lilja, Thomas Laurell & György Marko-Varga, 2012, In : Clinical Biochemistry. 45, 4-5, p. 331-338

    Research output: Contribution to journalArticle

  12. 2011
  13. GOBO: Gene Expression-Based Outcome for Breast Cancer Online.

    Markus Ringnér, Fredlund, E., Jari Häkkinen, Åke Borg & Johan Staaf, 2011, In : PLoS ONE. 6, 3, e17911.

    Research output: Contribution to journalArticle

  14. Laboratory data and sample management for proteomics.

    Jari Häkkinen & Fredrik Levander, 2011, Data Mining in Proteomics : From Standards to Applications. Hamacher, M., Eisenacher, M. & Stephan, C. (eds.). Springer, Vol. 696. p. 79-92 (Methods in Molecular Biology; vol. 696).

    Research output: Chapter in Book/Report/Conference proceedingBook chapter

  15. 2009
  16. BASE--2nd generation software for microarray data management and analysis.

    Johan Vallon-Christersson, Nordborg, N., Svensson, M. & Jari Häkkinen, 2009, In : BMC Bioinformatics. 10, Oct 12, 330.

    Research output: Contribution to journalArticle

  17. Getting a grip on proteomics data - Proteomics Data Collection (ProDaC)

    Eisenacher, M., Martens, L., Hardt, T., Kohl, M., Barsnes, H., Helsens, K., Jari Häkkinen, Fredrik Levander, Aebersold, R. & al, E., 2009, In : Proteomics. 9, 15, p. 3928-3933

    Research output: Contribution to journalArticle

  18. Proteomics data collection--4th ProDaC workshop 15 August 2008, Amsterdam, The Netherlands

    Eisenacher, M., Kohl, M., Martens, L., Barsnes, H., Hardt, T., Fredrik Levander, Jari Häkkinen, Apweiler, R., Meyer, H. E. & Stephan, C., 2009, In : Proteomics. 9, 2, p. 218-222

    Research output: Contribution to journalArticle

  19. Proteomics Data Collection-5th ProDaC Workshop

    Eisenacher, M., Martens, L., Barsnes, H., Hardt, T., Kohl, M., Jari Häkkinen, Apweiler, R., Meyer, H. E. & Stephan, C., 2009, In : Proteomics. 9, 14, p. 3626-3629

    Research output: Contribution to journalArticle

  20. The Proteios Software Environment: an extensible multiuser platform for management and analysis of proteomics data

    Jari Häkkinen, Vincic, G., Månsson, O., Wårell, K. & Fredrik Levander, 2009, In : Journal of Proteome Research. 8, 6, p. 3037-3043

    Research output: Contribution to journalArticle

  21. 2008
  22. Proteomics Data Collection - 2nd ProDaC Workshop 5 October 2007, Seoul, Korea

    Eisenacher, M., Hardt, T., Hamacher, M., Martens, L., Fredrik Levander, Jari Häkkinen, Apweiler, R., Mayer, H. E. & Stephan, C., 2008, Proteomics, 8, 7, p. 1326-1330.

    Research output: Contribution to specialist publication or newspaperSpecialist publication article

  23. Proteomics Data Collection-3(rd) ProDaC Workshop April 22(nd) 2008, Toledo, Spain

    Eisenacher, M., Hardt, T., Martens, L., Jari Häkkinen, Apweiler, R., Hamacher, M., Meyer, H. E. & Stephan, C., 2008, In : Proteomics. 8, 20, p. 4163-4167

    Research output: Contribution to journalArticle

  24. 2007
  25. Automated reporting from gel-based proteomics experiments using the open source Proteios database application

    Fredrik Levander, Krogh, M., Wårell, K., Gärdén, P., Peter James & Jari Häkkinen, 2007, In : Proteomics. 7, 5, p. 668-674

    Research output: Contribution to journalArticle

  26. Proteomics Data Collection - the 1st ProDaC workshop 26 April 2007 Ecole Normale Supérieur, Lyon, France.

    Eisenacher, M., Hardt, T., Hamacher, M., Martens, L., Jari Häkkinen, Fredrik Levander, Apweiler, R., Meyer, H. E. & Stephan, C., 2007, In : Proteomics. p. 3034-3037

    Research output: Contribution to journalArticle

  27. Proteomic variation is as large within as between strawberry varieties

    Alm, R., Ekefjard, A., Krogh, M., Jari Häkkinen & Cecilia Emanuelsson, 2007, In : Journal of Proteome Research. 6, 8, p. 3011-3020

    Research output: Contribution to journalArticle

  28. SPECLUST: a web tool for clustering of mass spectra

    Johansson, P., Alm, R., Cecilia Emanuelsson, Jari Häkkinen & Markus Ringnér, 2007, (Unpublished)

    Research output: Other contributionMiscellaneous

  29. The Mass Distance Fingerprint: A statistical framework for de novo detection of predominant modifications using high-accuracy mass spectrometry

    Potthast, F., Gerrits, B., Jari Häkkinen, Rutishauser, D., Ahrens, C. H., Roschitzki, B., Baerenfaller, K., Munton, R. P., Walther, P., Gehrig, P., Seif, P., Seebergerg, P. H. & Schlapbach, R., 2007, In : Journal of Chromatography. B. 854, 1-2, p. 173-182

    Research output: Contribution to journalArticle

  30. 2006
  31. Detection and identification of protein isoforms using cluster analysis of MALDI-MS mass spectra

    Alm, R., Johansson, P., Hjerno, K., Cecilia Emanuelsson, Markus Ringnér & Jari Häkkinen, 2006, In : Journal of Proteome Research. 5, 4, p. 785-792

    Research output: Contribution to journalArticle

  32. Improving missing value imputation of microarray data by using spot quality weights

    Johansson, P. & Jari Häkkinen, 2006, In : BMC Bioinformatics. 7, 306.

    Research output: Contribution to journalArticle

  33. Keeping track of gel-based proteomics experiments using the open-source Proteios software

    Fredrik Levander, Krogh, M., Wårell, K., Gärdén, P., Peter James & Jari Häkkinen, 2006.

    Research output: Contribution to conferenceAbstract

  34. 2005
  35. PROTEIOS: an open source proteomics initiative

    Gärdén, P., Alm, R. & Jari Häkkinen, 2005, In : Bioinformatics. 21, 9, p. 2085-2087

    Research output: Contribution to journalArticle

  36. 2004
  37. ACID: a database for microarray clone information

    Markus Ringnér, Srinivas Veerla, Andersson, S., Johan Staaf & Jari Häkkinen, 2004, In : Bioinformatics. 20, 14, p. 2305-2306

    Research output: Contribution to journalArticle

  38. Improving automatic peptide mass fingerprint protein identification by combining many peak sets

    Rognvaldsson, T., Jari Häkkinen, Lindberg, C., Marko-Varga, G., Potthast, F. & Samuelsson, J., 2004, In : Journal of Chromatography. B. 807, 2, p. 209-215

    Research output: Contribution to journalArticle

  39. 2000
  40. Local routing algorithms based on Potts neural networks.

    Jari Häkkinen, Lagerholm, M., Peterson, C. & Bo Söderberg, 2000, In : IEEE Transactions on Neural Networks. 11, 4, p. 970-977

    Research output: Contribution to journalArticle

  41. 1998
  42. A Potts Neuron Approach to Communication Routing

    Jari Häkkinen, Lagerholm, M., Peterson, C. & Bo Söderberg, 1998, In : Neural Computation. 10, p. 1587-1599

    Research output: Contribution to journalArticle

  43. Is there screwiness at the end of the QCD cascades?

    Andersson, B., Gösta Gustafson, Jari Häkkinen, Markus Ringnér & Sutton, P., 1998, In : Journal of High Energy Physics. 9

    Research output: Contribution to journalArticle

  44. 1997
  45. bbˉ -fragmentation and Bpπ correlations

    Jari Häkkinen, 1997, In : Zeitschrift für Physik C Particles and Fields. 75, 1, p. 35-40

    Research output: Contribution to journalArticle

  46. Colour: A computer program for QCD colour factor calculations

    Jari Häkkinen & Kharraziha, H., 1997, In : Computer Physics Communications. 100, 3, p. 311-321

    Research output: Contribution to journalArticle

  47. Colour Connections in e+e- annihilation

    Friberg, C., Gösta Gustafson & Jari Häkkinen, 1997, In : Nuclear Physics, Section B. B490, p. 289-305

    Research output: Contribution to journalArticle

  48. 1996
  49. Properties of Hadronization in e+e- -Annihilation

    Jari Häkkinen, 1996, Jari Häkkinen, Dept. of Th. Phys., Sölveg 14a 223 62 LUND,. 97 p.

    Research output: ThesisDoctoral Thesis (compilation)

  50. QCD event generators report in the CERN report Physics at LEP2

    Knowles, I. G., Torbjörn Sjöstrand, Jari Häkkinen & et, A., 1996, [Publisher information missing].

    Research output: Book/ReportReport

  51. 1994
  52. Deuteron production in e+e−-annihilation

    Gösta Gustafson & Jari Häkkinen, 1994, In : Zeitschrift für Physik C Particles and Fields. 61, 4, p. 683-687

    Research output: Contribution to journalArticle

  53. 1993