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Subramani Mani

Explore the profile of Subramani Mani including associated specialties, affiliations and a list of published articles. Areas
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Articles 18
Citations 675
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Recent Articles
1.
Oprea T, Bologa C, Brunak S, Campbell A, Gan G, Gaulton A, et al.
Nat Rev Drug Discov . 2018 Mar; 17(5):377. PMID: 29567993
This corrects the article DOI: 10.1038/nrd.2018.14.
2.
Oprea T, Bologa C, Brunak S, Campbell A, Gan G, Gaulton A, et al.
Nat Rev Drug Discov . 2018 Feb; 17(5):317-332. PMID: 29472638
A large proportion of biomedical research and the development of therapeutics is focused on a small fraction of the human genome. In a strategic effort to map the knowledge gaps...
3.
Nelson S, Oprea T, Ursu O, Bologa C, Zaveri A, Holmes J, et al.
J Am Med Inform Assoc . 2017 Oct; 24(6):1169-1172. PMID: 29016968
Therapeutic intent, the reason behind the choice of a therapy and the context in which a given approach should be used, is an important aspect of medical practice. There are...
4.
Cannon D, Yang J, Mathias S, Ursu O, Mani S, Waller A, et al.
Bioinformatics . 2017 Apr; 33(16):2601-2603. PMID: 28398460
Motivation: The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins. Results: We developed TIN-X, the...
5.
Mani S, Cannon D, Ohls R, Oprea T, Mathias S, Ballard K, et al.
J Biomed Inform . 2017 Jan; 66:241-247. PMID: 28131723
Developing automated and interactive methods for building a model by incorporating mechanistic and potentially causal annotations of ranked biomarkers of a disease or clinical condition followed by a mapping into...
6.
Nguyen D, Mathias S, Bologa C, Brunak S, Fernandez N, Gaulton A, et al.
Nucleic Acids Res . 2016 Dec; 45(D1):D995-D1002. PMID: 27903890
The 'druggable genome' encompasses several protein families, but only a subset of targets within them have attracted significant research attention and thus have information about them publicly available. The Illuminating...
7.
Mani S, Ozdas A, Aliferis C, Varol H, Chen Q, Carnevale R, et al.
J Am Med Inform Assoc . 2013 Sep; 21(2):326-36. PMID: 24043317
Objective: The objective was to develop non-invasive predictive models for late-onset neonatal sepsis from off-the-shelf medical data and electronic medical records (EMR). Design: The data used in this study are...
8.
Mani S, Chen Y, Li X, Arlinghaus L, Chakravarthy A, Abramson V, et al.
J Am Med Inform Assoc . 2013 Apr; 20(4):688-95. PMID: 23616206
Objective: To employ machine learning methods to predict the eventual therapeutic response of breast cancer patients after a single cycle of neoadjuvant chemotherapy (NAC). Materials And Methods: Quantitative dynamic contrast-enhanced...
9.
Mani S, Chen Y, Elasy T, Clayton W, Denny J
AMIA Annu Symp Proc . 2013 Jan; 2012:606-15. PMID: 23304333
Objective: To test the feasibility of using data collected in electronic medical records for development of effective models for diabetes risk forecasting. Methods: Using available demographic, clinical and lab parameters...
10.
Xu H, Fu Z, Shah A, Chen Y, Peterson N, Chen Q, et al.
AMIA Annu Symp Proc . 2011 Dec; 2011:1564-72. PMID: 22195222
Identification of a cohort of patients with specific diseases is an important step for clinical research that is based on electronic health records (EHRs). Informatics approaches combining structured EHR data,...