Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Rafael Ballester-Ripoll"'
Autor:
Rafael Ballester-Ripoll
Publikováno v:
International Journal of Approximate Reasoning. 142:94-108
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25395a55f46bd2bd09f6524ce5fdd6c2
https://doi.org/10.1016/j.ijar.2021.11.007
https://doi.org/10.1016/j.ijar.2021.11.007
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
Survival analysis for human-based TF scores on H&E stained sections by univariate and multivariate cox regressions. OS=overall survival; RFS=relapse-free survival; CI=95% confidence interval; TF (low/high): scores dichotomized at the median (categori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61ff5cb1c8f74c242c548c1544e1b6d1
https://doi.org/10.1158/0008-5472.22413396.v1
https://doi.org/10.1158/0008-5472.22413396.v1
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
A) Percentage distribution of computed TF scores for TMA and correlation between matching cores. B) Percentage distribution of computed TF scores for WS and correlation between matching whole sections. C) Percentage distribution of human-based TF sco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d77dc0918c2709a51364ea7f34b38a2
https://doi.org/10.1158/0008-5472.22413420.v1
https://doi.org/10.1158/0008-5472.22413420.v1
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
Series of cox univariate survival analyses are represented for the WS cohort. Data points represent single survival analyses repeated for computed TF scores using different tumor fragments size cut-offs. X-axis indicates the minimal size threshold fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d553e675366878a67ab5673e6a61e7f
https://doi.org/10.1158/0008-5472.22413417.v1
https://doi.org/10.1158/0008-5472.22413417.v1
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
The table shows proportions of patients among low and high TF groups (dichotomized at the median TF scores) stratified by clinical parameters. Chi-square tests and Spearman's rank correlations were used for categorical (low/high TF) and continuous TF
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c9bc315277ad5761a0ef6d67aa4fae7
https://doi.org/10.1158/0008-5472.22413405
https://doi.org/10.1158/0008-5472.22413405
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
A) gene ontology network visualization of RNAs overexpressed in high (red) and low TF (blue) groups. B) bar plot showing molecular pathways associated with low (blue) and high (red) TF, at the RNA level. C) bar plot showing biological processes (BP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::765b86e7461b1379326bd90ba64fd4cc
https://doi.org/10.1158/0008-5472.22413414.v1
https://doi.org/10.1158/0008-5472.22413414.v1
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
The list of proteins identified by mass spectrometry (n=2614) for 48 samples of the WS cohort.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eca1ce7480707a183525355a4a03da7
https://doi.org/10.1158/0008-5472.22413408
https://doi.org/10.1158/0008-5472.22413408
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
The PRIDE (PRoteomics IDEntifications database) additional raw and search files of our experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65bef78ad0b9685f6e88b52ba87f6770
https://doi.org/10.1158/0008-5472.22413411
https://doi.org/10.1158/0008-5472.22413411
Autor:
Alex Soltermann, Andrew H. Beck, Marco Stampanoni, Holger Moch, Walter Weder, Alberto Astolfo, Rafael Ballester-Ripoll, Reto Wettstein, Bart Vrugt, Jonas Grossmann, Paolo Nanni, Undine Rulle, Daniel Xia, Ruben Casanova
The table shows the list of proteins correlating with TF scores as a continuous response with a FDR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7134a3971060ede1f9b0f0b8ad4b821a
https://doi.org/10.1158/0008-5472.22413393.v1
https://doi.org/10.1158/0008-5472.22413393.v1
Publikováno v:
International Journal of Approximate Reasoning. 159:108929
Sensitivity analysis measures the influence of a Bayesian network's parameters on a quantity of interest defined by the network, such as the probability of a variable taking a specific value. Various sensitivity measures have been defined to quantify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bac91854c2dc98aec0b4a1fe74631da5
https://doi.org/10.1016/j.ijar.2023.108929
https://doi.org/10.1016/j.ijar.2023.108929