Thanneer Malai Perumal
Thanneer Malai Perumal
Digital Biomarker Technology Leader @ Roche
Bestätigte E-Mail-Adresse bei roche.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Gene Expression Elucidates Functional Impact of Polygenic Risk for Schizophrenia
M Fromer, P Roussos, SK Sieberts, JS Johnson, DH Kavanagh, ...
bioRxiv 52209 (052209), 052209, 2016
6892016
Integrating pathways of Parkinson's disease in a molecular interaction map
KA Fujita, M Ostaszewski, Y Matsuoka, S Ghosh, E Glaab, C Trefois, ...
Molecular neurobiology 49 (1), 88-102, 2014
1982014
Unsupervised analysis of transcriptomics in bacterial sepsis across multiple datasets reveals three robust clusters
TE Sweeney, TD Azad, M Donato, WA Haynes, TM Perumal, R Henao, ...
Critical care medicine 46 (6), 915, 2018
1122018
A community approach to mortality prediction in sepsis via gene expression analysis
TE Sweeney, TM Perumal, R Henao, M Nichols, JA Howrylak, AM Choi, ...
Nature communications 9 (1), 1-10, 2018
1052018
Landscape of conditional eQTL in dorsolateral prefrontal cortex and co-localization with schizophrenia GWAS
A Dobbyn, LM Huckins, J Boocock, LG Sloofman, BS Glicksberg, ...
The American Journal of Human Genetics 102 (6), 1169-1184, 2018
792018
Large-scale identification of common trait and disease variants affecting gene expression
ME Hauberg, W Zhang, C Giambartolomei, O Franzén, DL Morris, TJ Vyse, ...
The American Journal of Human Genetics 100 (6), 885-894, 2017
692017
Detecting cellular reprogramming determinants by differential stability analysis of gene regulatory networks
I Crespo, TM Perumal, W Jurkowski, A Del Sol
BMC systems biology 7 (1), 1-14, 2013
482013
Gene Regulatory Network Inference of Immunoresponsive Gene 1 (IRG1) Identifies Interferon Regulatory Factor 1 (IRF1) as Its Transcriptional Regulator in Mammalian Macrophages.
MA Tallam A, Perumal TM, Antony PM, Jäger C, Fritz JV, Vallar L, Balling R ...
PLoS One 11 (2), e0149050, 2016
472016
Meta-Analysis of the Alzheimer’s Disease Human Brain Transcriptome and Functional Dissection in Mouse Models
YW Wan, R Al-Ouran, CG Mangleburg, TM Perumal, TV Lee, K Allison, ...
Cell Reports 32 (2), 107908, 2020
462020
Understanding dynamics using sensitivity analysis: caveat and solution
TM Perumal, R Gunawan
BMC systems biology 5 (1), 1-10, 2011
362011
Molecular, phenotypic, and sample-associated data to describe pluripotent stem cell lines and derivatives
K Daily, SJH Sui, LM Schriml, PJ Dexheimer, N Salomonis, R Schroll, ...
Scientific data 4 (1), 1-10, 2017
352017
Personalized hypothesis tests for detecting medication response in Parkinson disease patients using iPhone Sensor data
E CHAIBUB NETO, BM Bot, T PERUMAL, L Omberg, J Guinney, M Kellen, ...
Biocomputing 2016: Proceedings of the Pacific Symposium, 273-284, 2016
242016
Detecting the impact of subject characteristics on machine learning-based diagnostic applications
EC Neto, A Pratap, TM Perumal, M Tummalacherla, P Snyder, BM Bot, ...
NPJ digital medicine 2 (1), 1-6, 2019
212019
Detecting the impact of subject characteristics on machine learning-based diagnostic applications
EC Neto, A Pratap, TM Perumal, M Tummalacherla, P Snyder, BM Bot, ...
NPJ digital medicine 2 (1), 1-6, 2019
212019
Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions
SK Sieberts, TM Perumal, MM Carrasquillo, M Allen, JS Reddy, ...
Scientific Data 7 (1), 1-11, 2020
182020
Meta-analysis of the human brain transcriptome identifies heterogeneity across human AD coexpression modules robust to sample collection and methodological approach
BA Logsdon, TM Perumal, V Swarup, M Wang, C Funk, C Gaiteri, M Allen, ...
bioRxiv, 510420, 2019
172019
TRIM32 modulates pluripotency entry and exit by directly regulating Oct4 stability
TM Perumal, L Gonzalez-Cano, AL Hillje, L Taher, W Makalowski, ...
Scientific reports 5 (1), 1-19, 2015
162015
Dynamical analysis of cellular networks based on the Green's function matrix
TM Perumal, Y Wu, R Gunawan
Journal of theoretical biology 261 (2), 248-259, 2009
152009
A Permutation Approach to Assess Confounding in Machine Learning Applications for Digital Health
E Chaibub Neto, A Pratap, TM Perumal, M Tummalacherla, BM Bot, ...
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
92019
On the analysis of personalized medication response and classification of case vs control patients in mobile health studies: the mPower case study
EC Neto, TM Perumal, A Pratap, BM Bot, L Mangravite, L Omberg
arXiv preprint arXiv:1706.09574, 2017
92017
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