Author

Philge Philip

Indian Institute of Technology MadrasORCID 0000-0001-8752-0794Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 3 Organism:human· 3 Approach:statistical model· 3 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:variant calling· 1 Assay:whole-exome sequencing· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Manikandan NarayananiD· 2 shared Anjana Anilkumar SitharaiD· 1 shared Anuradha RajamanickamiD· 1 shared C R SrivatsaniD· 1 shared Devi Priyanka MaripuriiD· 1 shared Kailash BPiD· 1 shared Karthik RamaniD· 1 shared Keerthika MoorthyiD· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersSystems Biology

Manikandan NarayananORCID

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3 papers

Recent·Most cited

Systems Biologynpj Systems Biology and ApplicationsPeer-reviewedMay 9, 2024

Alzheimer's disease rewires gene coexpression networks coupling different brain regions

Sanga Mitra, Kailash BP, C R Srivatsan…·Manikandan Narayanan

This study identifies gene coexpression rewiring between brain regions in Alzheimer's disease using differential correlation analysis of RNA-seq data from multiple brain regions.

15 citations

humanbulk RNA-seq

Systems BiologybioRxivPreprintDec 27, 2023

Delineating markers of disease-disease interaction: a systematic methodology and its application to multiple diabetes-helminth cohorts

Nilesh Anantha Subramanian, Philge Philip, Anuradha Rajamanickam…·Manikandan Narayanan

This study introduces a methodology to identify disease-disease interaction markers using comorbid diabetes and helminth infection cohorts, finding cytokines like IFN-γ and TNF- show significant interaction effects before treatment.

2 citations

humanbulk RNA-seq

BioinformaticsNAR Genomics and BioinformaticsPeer-reviewedJul 9, 2022

iCOMIC: a graphical interface-driven bioinformatics pipeline for analyzing cancer omics data

Anjana Anilkumar Sithara, Devi Priyanka Maripuri, Keerthika Moorthy…·Karthik Raman

iCOMIC is a user-friendly bioinformatics pipeline for analyzing cancer omics data, providing insightful statistics and high accuracy in variant calling.

3 citations

humanwhole-genome sequencing