In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning

V Paulitschke; Michael Wolf; Daniel Wasinger; N. Zila; Andrea Bileck; G. Stary; L. Borik-Heil; L Dadak; A. Aguilar-Gonzales; N. Harikumar; F. Tuchmann; A. Fischer; S. Stando; R. Kunstfeld; W.P. Weninger; C. Höller; Christopher Gerner

In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning

V Paulitschke
, Michael Wolf
, Daniel Wasinger
, N. Zila
, Andrea Bileck
, G. Stary
, L. Borik-Heil
, L Dadak
, A. Aguilar-Gonzales
, N. Harikumar
, F. Tuchmann
, A. Fischer
, S. Stando
, R. Kunstfeld
, W.P. Weninger
, C. Höller
, Christopher Gerner

Publications: Contribution to journal › Meeting abstract/Conference paper › Peer Reviewed

Original language	German
Article number	Meeting Abstract: eP115
Pages (from-to)	100-101
Number of pages	2
Journal	Journal der Deutschen Dermatologischen Gesellschaft
Volume	23
Issue number	S6
Publication status	Published - 15 Sept 2025

Austrian Fields of Science 2012

302011 Dermatology
301304 Medical biology
104002 Analytical chemistry
104027 Computational chemistry

Cite this

Paulitschke, V., Wolf, M., Wasinger, D., Zila, N., Bileck, A., Stary, G., Borik-Heil, L., Dadak, L., Aguilar-Gonzales, A., Harikumar, N., Tuchmann, F., Fischer, A., Stando, S., Kunstfeld, R., Weninger, W. P., Höller, C., & Gerner, C. (2025). In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning. Journal der Deutschen Dermatologischen Gesellschaft, 23(S6), 100-101. Article Meeting Abstract: eP115.

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title = "In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning",

author = "V Paulitschke and Michael Wolf and Daniel Wasinger and N. Zila and Andrea Bileck and G. Stary and L. Borik-Heil and L Dadak and A. Aguilar-Gonzales and N. Harikumar and F. Tuchmann and A. Fischer and S. Stando and R. Kunstfeld and W.P. Weninger and C. H{\"o}ller and Christopher Gerner",

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year = "2025",

month = sep,

day = "15",

language = "Deutsch",

volume = "23",

pages = "100--101",

journal = "Journal der Deutschen Dermatologischen Gesellschaft",

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Paulitschke, V, Wolf, M , Wasinger, D, Zila, N, Bileck, A, Stary, G, Borik-Heil, L, Dadak, L, Aguilar-Gonzales, A, Harikumar, N, Tuchmann, F, Fischer, A, Stando, S, Kunstfeld, R, Weninger, WP, Höller, C & Gerner, C 2025, 'In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning', Journal der Deutschen Dermatologischen Gesellschaft, vol. 23, no. S6, Meeting Abstract: eP115, pp. 100-101.

In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning. / Paulitschke, V; Wolf, Michael ; Wasinger, Daniel et al.
In: Journal der Deutschen Dermatologischen Gesellschaft, Vol. 23, No. S6, Meeting Abstract: eP115, 15.09.2025, p. 100-101.

Publications: Contribution to journal › Meeting abstract/Conference paper › Peer Reviewed

TY - JOUR

T1 - In silico Identification of Metastasis-Associated Gene Signatures in Cutaneous Melanoma using Bulk RNA-Sequencing-based Pathway Enrichment and Machine Learning

AU - Paulitschke, V

AU - Wolf, Michael

AU - Wasinger, Daniel

AU - Zila, N.

AU - Bileck, Andrea

AU - Stary, G.

AU - Borik-Heil, L.

AU - Dadak, L

AU - Aguilar-Gonzales, A.

AU - Harikumar, N.

AU - Tuchmann, F.

AU - Fischer, A.

AU - Stando, S.

AU - Kunstfeld, R.

AU - Weninger, W.P.

AU - Höller, C.

AU - Gerner, Christopher

N1 - Times Cited in Web of Science Core Collection: 0 Total Times Cited: 0 Cited Reference Count: 0

PY - 2025/9/15

Y1 - 2025/9/15

M3 - Meeting Abstract/Conference Paper

SN - 1610-0379

VL - 23

SP - 100

EP - 101

JO - Journal der Deutschen Dermatologischen Gesellschaft

JF - Journal der Deutschen Dermatologischen Gesellschaft

IS - S6

M1 - Meeting Abstract: eP115

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