Francisco Azuaje
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View article: Hub genes in a pan-cancer co-expression network show potential for predicting drug responses
Hub genes in a pan-cancer co-expression network show potential for predicting drug responses Open
Dataset 1. Gene co-expression network data. It contains network nodes, weighted network and list of hubs. Dataset 2. qPCR data from independent validation, including MIQE and additional information.
View article: Supplementary Table S4 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S4 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S4
View article: Supplementary Table S3 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S3 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S3
View article: Supplementary Table S5 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S5 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S5
View article: Supplementary Table S6 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S6 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S6
View article: Supplementary Table S4 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S4 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S4
View article: Supplementary Table S5 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S5 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S5
View article: Supplementary Table S6 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S6 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S6
View article: Supplementary Table S3 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Supplementary Table S3 from Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Table S3
View article: Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study Open
View article: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study
Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study Open
View article: Allergic airway inflammation delays glioblastoma progression and reinvigorates systemic and local immunity in mice
Allergic airway inflammation delays glioblastoma progression and reinvigorates systemic and local immunity in mice Open
Background Numerous patient‐based studies have highlighted the protective role of immunoglobulin E‐mediated allergic diseases on glioblastoma (GBM) susceptibility and prognosis. However, the mechanisms behind this observation remain elusiv…
View article: DrDimont: explainable drug response prediction from differential analysis of multi-omics networks
DrDimont: explainable drug response prediction from differential analysis of multi-omics networks Open
Motivation While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide…
View article: DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks
DrDimont: Explainable drug response prediction from differential analysis of multi-omics networks Open
Motivation While it has been well established that drugs affect and help patients differently, personalized drug response predictions remain challenging. Solutions based on single omics measurements have been proposed, and networks provide…
View article: BioNE: Integration of network embeddings for supervised learning
BioNE: Integration of network embeddings for supervised learning Open
Summary A network embedding approach reduces the analysis complexity of large biological networks by converting them to lowdimensional vector representations (features/embeddings). These lower-dimensional vectors can then be used in machin…
View article: Comparison of Deep Neural Networks and Regularised Cox Regression Models in the Prediction of Neurodegenerative Diseases in the General Older Population
Comparison of Deep Neural Networks and Regularised Cox Regression Models in the Prediction of Neurodegenerative Diseases in the General Older Population Open
View article: BioNE: Integration of network embeddings for supervised learning
BioNE: Integration of network embeddings for supervised learning Open
The BioNE is a new pipeline that integrates embedding results from different graph embedding methods, providing a more comprehensive knowledge of the network and therefore better performance on prediction tasks.
View article: KS01.5.A Allergic airway inflammation impacts tumor take and delays experimental glioblastoma progression
KS01.5.A Allergic airway inflammation impacts tumor take and delays experimental glioblastoma progression Open
BACKGROUND Numerous epidemiological studies have highlighted the protective role of immunoglobulin E-mediated allergic diseases on glioblastoma (GBM) susceptibility and prognosis. However, the mechanistic explanations behind these phenomen…
View article: Oncolytic H-1 parvovirus binds to sialic acid on laminins for cell attachment and entry
Oncolytic H-1 parvovirus binds to sialic acid on laminins for cell attachment and entry Open
View article: Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology
Patient-derived organoids and orthotopic xenografts of primary and recurrent gliomas represent relevant patient avatars for precision oncology Open
View article: Temozolomide-Induced RNA Interactome Uncovers Novel LncRNA Regulatory Loops in Glioblastoma
Temozolomide-Induced RNA Interactome Uncovers Novel LncRNA Regulatory Loops in Glioblastoma Open
Resistance to chemotherapy by temozolomide (TMZ) is a major cause of glioblastoma (GBM) recurrence. So far, attempts to characterize factors that contribute to TMZ sensitivity have largely focused on protein-coding genes, and failed to pro…
View article: Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics
Community Assessment of the Predictability of Cancer Protein and Phosphoprotein Levels from Genomics and Transcriptomics Open
Cancer is driven by genomic alterations, but the processes causing this disease are largely performed by proteins. However, proteins are harder and more expensive to measure than genes and transcripts. To catalyze developments of methods t…
View article: Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia
Extracellular ATP and CD39 Activate cAMP-Mediated Mitochondrial Stress Response to Promote Cytarabine Resistance in Acute Myeloid Leukemia Open
Relapses driven by chemoresistant leukemic cell populations are the main cause of mortality for patients with acute myeloid leukemia (AML). Here, we show that the ectonucleotidase CD39 (ENTPD1) is upregulated in cytarabine-resistant leukem…
View article: A Network-Based Embedding Method for Drug-Target Interaction Prediction
A Network-Based Embedding Method for Drug-Target Interaction Prediction Open
Integration of multi-omics and pharmacological data can help researchers understand the impact of drugs on dynamic biological systems. Network-based approaches to such integration explore the interaction of different cellular components an…
View article: Machine learning-assisted neurotoxicity prediction in human midbrain organoids
Machine learning-assisted neurotoxicity prediction in human midbrain organoids Open
The here described model is a valuable tool for advanced in vitro PD modeling and to test putative neurotoxic compounds.
View article: Fisetin protects against cardiac cell death through reduction of ROS production and caspases activity
Fisetin protects against cardiac cell death through reduction of ROS production and caspases activity Open
View article: A deep neural network approach to predicting clinical outcomes of neuroblastoma patients
A deep neural network approach to predicting clinical outcomes of neuroblastoma patients Open
View article: Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning
Connecting Histopathology Imaging and Proteomics in Kidney Cancer through Machine Learning Open
Proteomics data encode molecular features of diagnostic value and accurately reflect key underlying biological mechanisms in cancers. Histopathology imaging is a well-established clinical approach to cancer diagnosis. The predictive relati…
View article: Machine learning-assisted neurotoxicity prediction in human midbrain organoids
Machine learning-assisted neurotoxicity prediction in human midbrain organoids Open
A major challenge in the field of neurodegenerative diseases is the poor translation of pre-clinical models to clinical applications. The human brain is an immensely complex structure, which makes it difficult to recapitulate its developme…
View article: Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients
Deconvolution of transcriptomes and miRNomes by independent component analysis provides insights into biological processes and clinical outcomes of melanoma patients Open