Alberto Valdeolivas
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Explore the profile of Alberto Valdeolivas including associated specialties, affiliations and a list of published articles.
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21
Citations
1041
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Recent Articles
11.
A network medicine approach to study comorbidities in heart failure with preserved ejection fraction
Lanzer J, Valdeolivas A, Pepin M, Hund H, Backs J, Frey N, et al.
BMC Med
. 2023 Jul;
21(1):267.
PMID: 37488529
Background: Comorbidities are expected to impact the pathophysiology of heart failure (HF) with preserved ejection fraction (HFpEF). However, comorbidity profiles are usually reduced to a few comorbid disorders. Systems medicine...
12.
Dimitrov D, Turei D, Garrido-Rodriguez M, Burmedi P, Nagai J, Boys C, et al.
Nat Commun
. 2022 Jun;
13(1):3224.
PMID: 35680885
The growing availability of single-cell data, especially transcriptomics, has sparked an increased interest in the inference of cell-cell communication. Many computational tools were developed for this purpose. Each of them...
13.
Poletti M, Treveil A, Csabai L, Gul L, Modos D, Madgwick M, et al.
NPJ Syst Biol Appl
. 2022 May;
8(1):15.
PMID: 35501398
Increasing evidence points towards the key role of the epithelium in the systemic and over-activated immune response to viral infection, including SARS-CoV-2 infection. Yet, how viral infection alters epithelial-immune cell...
14.
Barsi S, Papp H, Valdeolivas A, Toth D, Kuczmog A, Madai M, et al.
PLoS Comput Biol
. 2022 Apr;
18(4):e1010021.
PMID: 35404937
Comparing SARS-CoV-2 infection-induced gene expression signatures to drug treatment-induced gene expression signatures is a promising bioinformatic tool to repurpose existing drugs against SARS-CoV-2. The general hypothesis of signature-based drug repurposing...
15.
Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta-Resendiz A, et al.
Mol Syst Biol
. 2021 Dec;
17(12):e10851.
PMID: 34939300
No abstract available.
16.
Ostaszewski M, Niarakis A, Mazein A, Kuperstein I, Phair R, Orta-Resendiz A, et al.
Mol Syst Biol
. 2021 Oct;
17(10):e10387.
PMID: 34664389
We need to effectively combine the knowledge from surging literature with complex datasets to propose mechanistic models of SARS-CoV-2 infection, improving data interpretation and predicting key targets of intervention. Here,...
17.
Pio-Lopez L, Valdeolivas A, Tichit L, Remy E, Baudot A
Sci Rep
. 2021 Apr;
11(1):8794.
PMID: 33888761
Network embedding approaches are gaining momentum to analyse a large variety of networks. Indeed, these approaches have demonstrated their effectiveness in tasks such as community detection, node classification, and link...
18.
Turei D, Valdeolivas A, Gul L, Palacio-Escat N, Klein M, Ivanova O, et al.
Mol Syst Biol
. 2021 Mar;
17(3):e9923.
PMID: 33749993
Molecular knowledge of biological processes is a cornerstone in omics data analysis. Applied to single-cell data, such analyses provide mechanistic insights into individual cells and their interactions. However, knowledge of...
19.
Bouhaddou M, Memon D, Meyer B, White K, Rezelj V, Marrero M, et al.
Cell
. 2020 Jul;
182(3):685-712.e19.
PMID: 32645325
The causative agent of the coronavirus disease 2019 (COVID-19) pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has infected millions and killed hundreds of thousands of people worldwide, highlighting an...
20.
Katsogiannou M, Boyer J, Valdeolivas A, Remy E, Calzone L, Audebert S, et al.
PLoS One
. 2019 Nov;
14(11):e0224148.
PMID: 31675377
Background: Prostate cancer is a major public health issue, mainly because patients relapse after androgen deprivation therapy. Proteomic strategies, aiming to reflect the functional activity of cells, are nowadays among...