Publications by Abhishek Garg | EPFL Graph Search

Methods for Designing Reliable Probe Arrays

Abhishek Garg, Giovanni De Micheli, Luca Benini

Recent advances in biosensing technologies have led to applications of biosensor probe arrays for rapid identification of biological agents such as drugs, gene expressions, proteins, cholesterol and fats in an input sample. However, monitoring the simultan ...

IEEE2010

Implicit methods for modeling gene regulatory networks

Abhishek Garg

Advancements in high-throughput technologies to measure increasingly complex biological phenomena at the genomic level are rapidly changing the face of biological research from single-gene single-protein experimental approach to studying the behaviour of a ...

EPFL2009

Modeling stochasticity and robustness in gene regulatory networks

Abhishek Garg, Giovanni De Micheli, Ioannis Xenarios

Motivation: Understanding gene regulation in biological processes and modeling the robustness of underlying regulatory networks is an important problem that is currently being addressed by computational systems biologists. Lately, there has been a renewed ...

2009

Dynamical Spot Queries to Improve Specificity in P450s based Multi-Drugs Monitoring

Abhishek Garg, Giovanni De Micheli, Andrea Cavallini, Sandro Carrara

Personalized therapy requires accurate and frequent monitoring of drugs metabolic response in living organisms during drug treatments. In case of high risk side effects, e.g. therapies with interfering anti-cancer molecules cocktails, direct monitoring of ...

2009

Synchronous versus asynchronous modeling of gene regulatory networks

Abhishek Garg, Giovanni De Micheli, Ioannis Xenarios

In silico modeling of gene regulatory networks has gained some momentum recently due to increased interest in analyzing the dynamics of biological systems. This has been further facilitated by the increasing availability of experimental data on gene–gene, ...

2008

Implicit Methods for Probabilistic Modeling of Gene Reglatory Networks

Abhishek Garg, Giovanni De Micheli, Debasree Banerjee

In silico modeling of Gene Regulatory Networks (GRN) has recently aroused a lot of interest in the biological community for modeling and understanding complex pathways. Boolean Networks (BN) are a common modeling tool for in silico dynamic analysis of such ...

2008

Dynamic simulation of regulatory networks using SQUAD

Abhishek Garg, Giovanni De Micheli, Ioannis Xenarios

Background The ambition of most molecular biologists is the understanding of the intricate network of molecular interactions that control biological systems. As scientists uncover the components and the connectivity of these networks, it becomes possible t ...

2007

Modeling of Multiple Valued Gene Regulatory Networks

Abhishek Garg, Giovanni De Micheli, Ioannis Xenarios

In silico modeling of Gene Regulatory Networks has gained a lot of attention recently as it gives a very powerful tool to experimental biologists to gather the knowledge gained from different biological experiments and understand the dynamics of the overal ...

2007

Exploiting Binary Abstractions in Deciphering Gene Interactions

Abhishek Garg, Giovanni De Micheli

We consider computationally reconstructing gene regulatory networks on top of the binary abstraction of gene expression state information. Unlike previous Boolean network approaches, the proposed method does not handle noisy gene expression values directly ...

2006