NDLI: Pathway and network analysis probing epigenetic influences on chemosensitivity in ovarian cancer

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2013 IEEE International Workshop on Genomic Signal Processing and Statistics

Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

2010 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)

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Table of Contents

Segregation-based subspace clustering for huge dimensional data

Fast algorithms for recognizing retroviruses

Finding steady states of large scale regulatory networks through partitioning

Pathway and network analysis probing epigenetic influences on chemosensitivity in ovarian cancer

Dynamic and static analysis of transcriptional regulatory networks in a hierarchical context

Optimal perturbation control of gene regulatory networks

Approximate expressions for the variances of non-randomized error estimators and CoD estimators for the discrete histogram rule

Bayesian MMSE estimation of classification error and performance on real genomic data

Model-based sequential base calling for Illumina sequencing

Graphlet alignment in protein interaction networks

A screening method for dimensionality reduction in biochemical reaction system calibration

Inference of gene predictor set using Boolean satisfiability

An iterated conditional mode solution for Bayesian factor modeling of transcriptional regulatory networks

Efficient designs for multiple gene knockdown experiments

Control of stochastic master equation models of genetic regulatory networks by approximating their average behavior

A comparative study on sensitivities of Boolean networks

Inference of gene-regulatory networks using message-passing algorithms

Subtype specific breast cancer event prediction

Dynamics, stability and consistency in representation of genomic sequences

Importance sampling method for efficient estimation of the probability of rare events in biochemical reaction systems

Hierarchical analysis of regulatory networks and cross-disciplinary comparison with the Linux call graph

Effects of partial reporting of classification results

Network propagation models for gene selection

Conditioning-based model for the regulatory activities of microRNAs in specific dietary contexts

RMS bounds and sample size considerations for error estimation in linear discriminant analysis

2009 IEEE International Workshop on Genomic Signal Processing and Statistics

2008 IEEE International Workshop on Genomic Signal Processing and Statistics

2007 IEEE International Workshop on Genomic Signal Processing and Statistics

2006 IEEE International Workshop on Genomic Signal Processing and Statistics

Pathway and network analysis probing epigenetic influences on chemosensitivity in ovarian cancer

Content Provider	IEEE Xplore Digital Library
Author	Banerjee, N. Janevski, A. Kamalakaran, S. Varadan, V. Lucito, R. Dimitrova, N.
Copyright Year	2010
Description	Author affiliation: Philips Research, 345 Scarborough Rd, Briarcliff Manor, NY 10510, USA (Banerjee, N.; Janevski, A.; Kamalakaran, S.; Varadan, V.; Dimitrova, N.) \|\| Cold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Hbr, NY 12724, USA (Lucito, R.)
Abstract	Ovarian cancer is the leading cause of death in gynecological cancers. Carboplatinum-based therapy is the standard treatment choice for ovarian cancer. However, a majority of the patients develop resistance to carboplatinum fairly rapidly hence there is a clinical need for early predictors of carboplatinum resistance. While there are a few indicative gene markers, they have poor sensitivity and specificity in predicting response accurately. It is essential that multiple high throughput molecular profiling modalities are integrated and investigated to provide a full picture of the ongoing processes. Here, we propose a methodology to identify central players in platinum resistance from a list of stratifying genes using a data-driven approach. We have used correlation of DNA methylation and gene expression data and applied network based features to identify the influence of DNA methylation on gene expression. This provides interpretive analysis and is complementary to the biological pathway-enrichment approaches. We suggest that our method, based on network structure properties, adds a useful layer to multi-modal evidence integration to focus on the key processes and interactions in resistance mechanisms.
Starting Page	1
Ending Page	4
File Size	1089092
Page Count	4
File Format	PDF
ISBN	9781612847917
ISSN	2150301X
e-ISBN	9781612847924
DOI	10.1109/GENSIPS.2010.5719670
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-10
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation carboplatinum sensitivity Platinum ovarian cancer Gene expression pathway analysis network biology Probes Cancer Immune system
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
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8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Decitabine reactivated pathways in platinum resistant ovarian cancer.

ERCC1 expression and platinum chemosensitivity in patients with ovarian cancer: A meta-analysis

Network Analysis of Differential Gene Expression to Identify Hub Genes in Ovarian Cancer

Down-Regulation of Survivin Expression by siRNA Suppresses Proliferation and Enhances Chemosensitivity in Human Pancreatic Cancer Cell Line Panc-1

Glutathione S-transferase P1 (GSTP1) directly influences platinum drug chemosensitivity in ovarian tumour cell lines.

Transcriptional epigenetic regulation of Fkbp1/Pax9 genes is associated with impaired sensitivity to platinum treatment in ovarian cancer

Association of BRCA1 and BRCA2 Mutations With Survival, Chemotherapy Sensitivity, and Gene Mutator Phenotype in Patients With Ovarian Cancer

Model constructions of chemosensitivity and prognosis of high grade serous ovarian cancer based on evaluation of immune microenvironment and immune response

Gene co-expression network analysis of two ovarian cancer datasets

Pathway and network analysis probing epigenetic influences on chemosensitivity in ovarian cancer

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Decitabine reactivated pathways in platinum resistant ovarian cancer.

ERCC1 expression and platinum chemosensitivity in patients with ovarian cancer: A meta-analysis

Network Analysis of Differential Gene Expression to Identify Hub Genes in Ovarian Cancer

Down-Regulation of Survivin Expression by siRNA Suppresses Proliferation and Enhances Chemosensitivity in Human Pancreatic Cancer Cell Line Panc-1

Glutathione S-transferase P1 (GSTP1) directly influences platinum drug chemosensitivity in ovarian tumour cell lines.

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Pathway and network analysis probing epigenetic influences on chemosensitivity in ovarian cancer