Machine Learning
2021
Int. J. Radiat. Biol., DOI: 10.1080/09553002.2021.1876951 (2021)
Nat. Cell Biol. 23, 23-31 (2021)
Life Sci. All. 4:e202000924 (2021)
Pediatr. Allergy Immunol. 32, 295-304 (2021)
2020
Nucleic Acids Res. 48, 11335-11346 (2020)
Bioinformatics 36, 2, i610-i617 (2020)
J. Extra. Vesicles 9:1792683 (2020)
Photoacoustics 20:100203 (2020)
Lect. Notes Comput. Sc. 12396 LNCS, 105-114 (2020)
Nat. Mach. Intell. 2, 719-726 (2020)
Nature 588, 151–156 (2020)
Nature 587, 377–386 (2020)
Mol. Syst. Biol. 16:e9416 (2020)
Nat. Commun. 11:3559 (2020)
Nat. Biotechnol. 38, 1408–1414 (2020)
BMC Public Health 20:1036 (2020)
Nature 582, 592–596 (2020)
Nat. Commun. 11:3068 (2020)
Curr. Biol. 30, 1142-1151 (2020)
Genome Biol. 21:31 (2020)
eLife 9:e52155 (2020)
Bioinformatics 36, 4291-4295 (2020)
PLoS Comput. Biol. 16:e1007147 (2020)
PLoS Comput. Biol. 16:e1007616 (2020)
Nat. Metab. 2, 192-209 (2020)
J. Eur. Acad. Dermatol. Venereol. 34, 800-809 (2020)
Thorax 75, 184-187 (2020)
Brief. Bioinform. 21, 272-281 (2020)
2019
Eur. Neuropsychopharmacol. 29, S7-S8 (2019)
J. Eur. Acad. Dermatol. Venereol. 33, 2380-2380 (2019)
Inf.-Spektrum, DOI: 10.1007/s00287-019-01220-y (2019)
Invest. Ophthalmol. Vis. Sci. 60 (2019)
Xenotransplantation 26 (2019)
Mult. Scler. J. 25, 906-907 (2019)
Lect. Notes Comput. Sc. 11731 LNCS, v-vii (2019)
Eur. J. Immunol. 49, 88-88 (2019)
Mol. Metab. 30, 16-29 (2019)
Lect. Notes Comput. Sc. 11727 LNCS, v-vii (2019)
Lect. Notes Comput. Sc. 11728 LNCS, v-vii (2019)
Lect. Notes Comput. Sc. 11729 LNCS, v-vii (2019)
Proc. Natl. Acad. Sci. U.S.A. 116, 20679-20688 (2019)
Genome Biol. 20:183 (2019)
Eur. Neuropsychopharmacol. 29, 1037-1037 (2019)
Eur. Neuropsychopharmacol. 29, 1161-1161 (2019)
Eur. Neuropsychopharmacol. 29, 1257-1258 (2019)
Pharmacoepidemiol. Drug Saf. 28, 585-586 (2019)
Sci. Rep. 9:12367 (2019)
Nat. Methods 16, 715-721 (2019)
Cytometry A 95, 952-965 (2019)
Front. Immunol. 10:1515 (2019)
Nature 571, 419-423 (2019)
Front. Genet. 10, DOI: 10.3389/fgene.2019.00535 (2019)
Development 146, DOI: 10.1242/dev.170506 (2019)
Mol. Syst. Biol. 15:e8746 (2019)
Nat. Med. 25, 1153-1163 (2019)
Nat. Commun. 10:2548 (2019)
Comprehensive single cell mRNA profiling reveals a detailed roadmap for pancreatic endocrinogenesis.
Development 146:dev173849 (2019)
Nature 569, 342-343 (2019)
Am. J. Respir. Cell Mol. Biol. 61, 31-41 (2019)
Nat. Rev. Genet. 20, 389-403 (2019)
Nat. Biotechnol. 37, 461-468 (2019)
Exp. Dermatol. 28, E29-E30 (2019)
NPJ Syst. Biol. Appl. 5:11 (2019)
Nat. Commun. 10:963 (2019)
Nat. Commun. 10:323 (2019)
Nat. Commun. 10:390 (2019)
Front. Microbiol. 9:3338 (2019)
Nat. Methods 16, 43-49 (2019)
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J. Eur. Acad. Dermatol. Venereol. 33, 115-122 (2019)
2018
In: Lecture Notes in Bioengineerin. 2018. 85-100
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J. R. Soc. Interface 15:20180600 (2018)
Cell Rep. 25, 3231-3240.e8 (2018)
NPJ Syst. Biol. Appl. 5 (2018)
Cell Syst. 7, 567-579 (2018)
Am. J. Respir. Crit. Care Med. 197 (2018)
Am. J. Respir. Crit. Care Med. 197 (2018)
Am. J. Respir. Crit. Care Med. 197 (2018)
Nucleic Acids Res. 46:e119 (2018)
Exp. Clin. Endocrinol. Diabet. 126, 20-29 (2018)
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Allergy 73, 732-733 (2018)
Diabetologe 14, 486-492 (2018)
Bioinformatics 34, 494-501 (2018)
Curr. Opin. Syst. Biol. 7, 54-59 (2018)
Lineage marker synchrony in hematopoietic genealogies refutes the PU.1/GATA1 toggle switch paradigm.
Nat. Commun. 9:2697 (2018)
GigaScience 7, 1-8 (2018)
Stem Cell Rep. 10, 58-69 (2018)
Science 360:eaaq1723 (2018)
Exp. Mol. Med. 50:e453 (2018)
Type I immune response induces keratinocyte necroptosis and is associated with interface dermatitis.
J. Invest. Dermatol., DOI: 10.1016/j.jid.2018.02.034 (2018)
Genome Biol. 19:15 (2018)
Mol. Cancer Res. 16, 390-402 (2018)
Radiat. Environ. Biophys. 57, 99-113 (2018)
Am. J. Respir. Crit. Care Med. 197, 1076-1080 (2018)
J. Allergy Clin. Immunol. 141, 1320-1333.e11 (2018)
Pediatr. Diabetes 19, 277-283 (2018)
2017
eLife 6:e27041 (2017)
Nat. Commun. 8:1483 (2017)
Bioinformatics 34, 896-898 (2017)
Proc. Natl. Acad. Sci. U.S.A. 114, E9579-E9588 (2017)
Curr. Opin. Syst. Biol. 4, 85-91 (2017)
BMC Bioinformatics 18:429 (2017)
J. Invest. Dermatol. 137, S275-S275 (2017)
J. Invest. Dermatol. 137, S254-S254 (2017)
Nat. Commun. 8:463 (2017)
Comput. Math. Methods Med. 2017:7847531 (2017)
Mol. Metab. 6, 974-990 (2017)
Eur. Neuropsychopharmacol. 27, 3, S406 (2017)
Eur. Neuropsychopharmacol. 27, 3, S456-S457 (2017)
Eur. Neuropsychopharmacol. 27, 3, S408-S409 (2017)
Eur. Neuropsychopharmacol. 27, 3, S401-S402 (2017)
Bioinformatics 33, i293-i300 (2017)
Nat. Commun. 8:14836 (2017)
Allergy 72, 1962-1971 (2017)
BMC Syst. Biol. 11:63 (2017)
Am. J. Respir. Crit. Care Med. 195 (2017)
Bioinformatics 33, 3211-3219 (2017)
Am. J. Respir. Crit. Care Med. 195 (2017)
J. Allergy Clin. Immunol. 139, AB163-AB163 (2017)
Oncotarget 8, 22876-22893 (2017)
Exp. Dermatol. 26, E68-E68 (2017)
Exp. Dermatol. 26, E61-E61 (2017)
Bioinformatics 33, 2020-2028 (2017)
Nat. Methods, DOI: 10.1038/nmeth.4182 (2017)
Cell Syst. 4, 194–206.e9 (2017)
Bioinformatics 33, 1049-1056 (2017)
PLoS Comput. Biol. 13:e1005331 (2017)
Diabetologia 60, 287-295 (2017)
Nucleic Acids Res. 45:e3 (2017)
2016
Diabetologia 59, S187-S187 (2016)
Biomol. Detect. Quantif. 11, 31-44 (2016)
Obstet. Gynecol. Surv. 71, 719-720 (2016)
Eur. J. Cancer 68, S135-S135 (2016)
Eur. J. Cancer 68, S44-S44 (2016)
In: (Foundations of Systems Biology in Engineering - FOSBE 2016, 9—12 October 2016, Magdeburg). 2016. 264-269 (IFAC PapersOnline ; 49-26)
Pancreatol. 16, S. 11 (2016)
Laborpraxis, DOI: undefined (2016)
https://www.bsse.ethz.ch/csd/software/ttt-and-qtfy.html (2016)
Lect. Notes Comput. Sc. 10019, 287-295 (2016)
J. Invest. Dermatol. 136, S217-S217 (2016)
J. Invest. Dermatol. 136, S219-S219 (2016)
BMC Syst. Biol. 10:80 (2016)
Nat. Methods 13, 845-848 (2016)
Cell Syst. 3, 7-11 (2016)
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PLoS Comput. Biol. 12:e1005030 (2016)
Laborjournal 7-8, 59-61 (2016)
Diabetologia 59, 2193-2202 (2016)
Nat. Biotechnol. 34, 703-706 (2016)
Nature 535, 299-302 (2016)
Cancer Res. 76:P1-06-02 (2016)
Exp. Dermatol. 25, 767-774 (2016)
Curr. Opin. Biotechnol. 39, IV-VI (2016)
J. Allergy Clin. Immunol. 138, 1207-1210.e2 (2016)
Laborjournal 23, 22-25 (2016)
Curr. Opin. Biotechnol. 39, 198-206 (2016)
Bioinformatics 32, 2464-2472 (2016)
IET Syst. Biol. 10, 210-218 (2016)
Oncol. Res. Treat. 39, 16-17 (2016)
PLoS ONE 11:e0151771 (2016)
Nat. Genet. 48, 497-499 (2016)
J. Comput. Biol. 23, 279-290 (2016)
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Oncotarget 7, 12937-12950 (2016)
Cell Syst. 2, 49-58 (2016)
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Bioinformatics 32, 1241-1243 (2016)
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Mucosal Immunol. 9, 917-926 (2016)
Clin. Sci. 130, 273-287 (2016)
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2015
In:. 2015. 69-A24 (Pneumologe)
In: Proceedings (12th IEEE International Symposium on Biomedical Imaging, ISBI 2015, 16-19 April 2015, Brooklyn, United States). 2015. 1304-1307
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BMC Syst. Biol. 9:61 (2015)
Lect. Notes Comput. Sc. 9237, 328-335 (2015)
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Metabolomics 11, 1815-1833 (2015)
Bioinformatics 31, 3558-3560 (2015)
J. Coupled Syst. Multiscale Dyn. 3, 101-121 (2015)
Cell Stem Cell 17, 74-88 (2015)
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Bioinformatics 31, i89-i96 (2015)
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Signal Process. 113, 95-103 (2015)
Int. J. Surg. 14, 67-74 (2015)
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Cell Rep. 10, 131-139 (2015)
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2014
IFAC PapersOnline 19, 1729-1735 (2014)
Mol. Biol. Cell 25:P537 (2014)
Intraindividual genome expression analysis reveals opposing immune reaction in psoriasis and eczema.
Br. J. Dermatol. 171, E135 (2014)
Lect. Notes Comput. Sc. 8859, 61-72 (2014)
Lect. Notes Comput. Sc. 8859, 73-85 (2014)
Diabetologia 58, 206 (2014)
Lect. Notes Comput. Sc. 8649, 15-29 (2014)
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Sep. Sci. Appl. 34, 24-26 (2014)
GIT Fachz. Lab. 9, 28-30 (2014)
J. Comput. Biol. 21, 855-865 (2014)
J. Invest. Dermatol. 135, 369-377 (2014)
Diabetologia 57, 2521-2529 (2014)
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Exp. Hematol. 42, S57 (2014)
J. Neurosci. 34, 10659-10674 (2014)
Br. J. Dermatol. 170, E19 (2014)
PLoS ONE 9:e101814 (2014)
BMC Bioinformatics 15:240 (2014)
Sci. Transl. Med. 6:244ra90 (2014)
J. Invest. Dermatol. 134, S1 (2014)
PLoS Comput. Biol. 10:e1003686 (2014)
Stem Cell Rep. 3, 34-43 (2014)
Hum. Mol. Genet. 23, 5847-5857 (2014)
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Bioinformatics 30, 1867-1875 (2014)
J. Integr. OMICS, DOI: 10.5584/jiomics.v4i1.157 (2014)
Development 141, 514-525 (2014)
Proc. Natl. Acad. Sci. U.S.A. 111, E626-E635 (2014)
Metabolomics 10, 141-151 (2014)
2013
EURASIP J. Adv. Signal Process. 2013:185 (2013)
BMC Bioinformatics 14:S2 (2013)
Allergy 68, 233-233 (2013)
Comp. Struc. Biotech. J. 4:e201301009 (2013)
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Nucleic Acids Res. 41, 9622-9633 (2013)
BMC Bioinformatics 14:297 (2013)
PLoS ONE 8:e74335 (2013)
Eur. Respir. J. 42 (2013)
BMC Bioinformatics 14:S7 (2013)
Pain 154, 2216-2226 (2013)
RNA Biol. 10, 1125-1135 (2013)
Math. Biosci. 246, 293-304 (2013)
Bayesian Anal. 8, 1-22 (2013)
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SIAM J. Appl. Dyn. Syst. 12, 315-351 (2013)
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Psychoneuroendocrinology 38, 1299-1309 (2013)
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2012
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Signal Process. 92, 1796-1808 (2012)
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In: Larjo, A.* ; Schober, S.* ; Farhan, M.* ; Bossert, M.* ; Yli-Harja, O.* [Eds.]: Proceedings (Ninth International Workshop on Computational Systems Biology, WCSB 2012, June 4-6, 2012, Ulm, Germany). Tampere, Finnland: Tampere International Center for Signal Processing, 2012. 43-46 (Proc. WCSB ; 61)
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2011
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2010
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2009
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Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary.
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2008
IEEE Pervasive Comput. 7, 28-35 (2008)
BMC Genomics 9:629 (2008)
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2007
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