The aim of this work is to build Boolean models to simulate specifically prostate cancer in individual patients or clones. That way, we seek to understand by which means the cells become cancerous and propose appropriate drug interventions to personally treat the patient
In this paper we show how Boolean genetic networks could be used to address complex problems in canc...
\u3cp\u3eMechanistic modeling of signaling pathways mediating patient-specific response to therapy c...
This thesis explored the role of the tumour microenvironment in the development and progression of p...
The aim of this work is to build Boolean models to simulate specifically prostate cancer in individu...
The aim of this work is to build Boolean models to simulate specifically prostate cancer in individu...
Prostate cancer is the second most occurring cancer in men worldwide. To better understand the mecha...
We developed a logical model that considers major pathways responsible for prostate cancer developme...
Prostate cancer is the second most occurring cancer in men worldwide. To better understand the mecha...
The structure and functioning of signaling networks is complex, and they are differently deregulated...
Mechanistic modeling of signaling pathways mediating patient-specific response to therapy can help t...
Despite increased understanding of cancer pathogenesis, translating this knowledge into therapy rema...
Logical models of cancer pathways are typically built by mining the literature for relevant experime...
Cancer involves the dysregulation of multiple signaling pathways in which computational modeling can...
As prostate cancer is not a single disease, it is important to identify the pivotal pathway in the p...
Prostate cancer represents a major global challenge, with 1.1 million new cases in 2012. According t...
In this paper we show how Boolean genetic networks could be used to address complex problems in canc...
\u3cp\u3eMechanistic modeling of signaling pathways mediating patient-specific response to therapy c...
This thesis explored the role of the tumour microenvironment in the development and progression of p...
The aim of this work is to build Boolean models to simulate specifically prostate cancer in individu...
The aim of this work is to build Boolean models to simulate specifically prostate cancer in individu...
Prostate cancer is the second most occurring cancer in men worldwide. To better understand the mecha...
We developed a logical model that considers major pathways responsible for prostate cancer developme...
Prostate cancer is the second most occurring cancer in men worldwide. To better understand the mecha...
The structure and functioning of signaling networks is complex, and they are differently deregulated...
Mechanistic modeling of signaling pathways mediating patient-specific response to therapy can help t...
Despite increased understanding of cancer pathogenesis, translating this knowledge into therapy rema...
Logical models of cancer pathways are typically built by mining the literature for relevant experime...
Cancer involves the dysregulation of multiple signaling pathways in which computational modeling can...
As prostate cancer is not a single disease, it is important to identify the pivotal pathway in the p...
Prostate cancer represents a major global challenge, with 1.1 million new cases in 2012. According t...
In this paper we show how Boolean genetic networks could be used to address complex problems in canc...
\u3cp\u3eMechanistic modeling of signaling pathways mediating patient-specific response to therapy c...
This thesis explored the role of the tumour microenvironment in the development and progression of p...
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