Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rajesh Ilango"'
Autor:
Maximilian T. Strauss, Isabell Bludau, Wen-Feng Zeng, Eugenia Voytik, Constantin Ammar, Julia P. Schessner, Rajesh Ilango, Michelle Gill, Florian Meier, Sander Willems, Matthias Mann
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract In common with other omics technologies, mass spectrometry (MS)-based proteomics produces ever-increasing amounts of raw data, making efficient analysis a principal challenge. A plethora of different computational tools can process the MS da
Externí odkaz:
https://doaj.org/article/3bb3dc3c774d41178b211bb9dcfb4669
Autor:
Corey Nolet, Avantika Lal, Rajesh Ilango, Taurean Dyer, Rajiv Movva, John Zedlewski, Johnny Israeli
Single-cell genomic technologies are rapidly improving our understanding of cellular heterogeneity in biological systems. In recent years, technological and computational improvements have continuously increased the scale of single-cell experiments,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::900cb3cef0bc2adb86e6ab42dfc4c538
We present a scalable strategy for development of mesh-free hybrid neuro-symbolic partial differential equation solvers based on existing mesh-based numerical discretization methods. Particularly, this strategy can be used to efficiently train neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6f690c8f0b4388baa1dcb064b69468e
http://arxiv.org/abs/2210.14312
http://arxiv.org/abs/2210.14312
Autor:
Rajesh Ilango, Sander Willems, Isabell Bludau, Eugenia Voytik, Constantin Ammar, Julia Schessner, Maximilian T. Strauss, Michelle Gill, Matthias Mann, Wen-Feng Zeng, Florian Meier
In common with other omics technologies, mass spectrometry (MS)-based proteomics produces ever-increasing amounts of raw data, making their efficient analysis a principal challenge. There is a plethora of different computational tools that process th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32a93159b423e48f1524e0920c276c51
https://doi.org/10.1101/2021.07.23.453379
https://doi.org/10.1101/2021.07.23.453379