78 citations · 150 across the 10 of their papers we have counts for
10 papers
Understanding the functional impact of copy number alterations in breast cancer using a network modeling approach
Sriganesh Srihari, Murugan Kalimutho, Samir Lal +5
Copy number alterations (CNAs) are thought to account for 85% of the variation in gene expression observed among breast tumours. The expression of cis-associated genes is impacted…
Inferring synthetic lethal interactions from mutual exclusivity of genetic events in cancer
Sriganesh Srihari, Jitin Singla, Limsoon Wong +1
Background: Synthetic lethality (SL) refers to the genetic interaction between two or more genes where only their co-alteration (e.g. by mutations, amplifications or deletions) res…
Complex-based analysis of dysregulated cellular processes in cancer
Sriganesh Srihari, Piyush B. Madhamshettiwar, Sarah Song +4
Background: Differential expression analysis of (individual) genes is often used to study their roles in diseases. However, diseases such as cancer are a result of the combined eff…
Evolution and Controllability of Cancer Networks: a Boolean Perspective
Sriganesh Srihari, Venkatesh Raman, Hon Wai Leong +1
Cancer forms a robust system and progresses as stages over time typically with increasing aggressiveness and worsening prognosis. Characterizing these stages and identifying the ge…
Computing Pathways to Systems Biology: Key Contributions of Computational Methods in Pathway Identification
Sriganesh Srihari, Mark A. Ragan
Understanding large molecular networks consisting of entities such as genes, proteins or RNAs that interact in complex ways to drive the cellular machinery has been an active focus…
Supervised, semi-supervised and unsupervised inference of gene regulatory networks
Stefan R. Maetschke, Piyush B. Madhamshettiwar, Melissa J. Davis +1
Inference of gene regulatory network from expression data is a challenging task. Many methods have been developed to this purpose but a comprehensive evaluation that covers unsuper…