Research output per year
Research output per year
Personal profile
Research
My main interest lies in understanding and applying the computational and machine-learning approaches for solving complex biological problems and analyzing the huge experimental data.
- The computational approach involves the designing of algorithm and programming code in R, PERL, Python or C.
- The machine learning approach integrates the idea of statistics for the task of classification and regression.
Teaching
I had been teaching different topics in Python, PERL, Machine Learning, Web Designing and Chemical Engineering to Bachelors’ and Master’s students at the Department of Biosciences and Technology, Karunya University, India. I have also guided 32 Bachelor’s and 4 Master’s students under my supervision.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
UKÄ subject classification
- Genetics
- Bioinformatics and Systems Biology
- Bioinformatics (Computational Biology)
Free keywords
- Machine Learning
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Collaborations the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Research output
- 12 Article
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Proteomic changes in Alzheimer’s disease associated with progressive Aβ plaque and tau tangle pathologies
Pichet Binette, A., Gaiteri, C., Wennström, M., Kumar, A., Hristovska, I., Spotorno, N., Salvadó, G., Strandberg, O., Mathys, H., Tsai, L. H., Palmqvist, S., Mattsson-Carlgren, N., Janelidze, S., Stomrud, E., Vogel, J. W. & Hansson, O., 2024 Oct, In: Nature Neuroscience. 27, 10, p. 1880-1891 12 p.Research output: Contribution to journal › Article › peer-review
Open Access -
The genetic regulation of protein expression in cerebrospinal fluid
Hansson, O., Kumar, A., Janelidze, S., Stomrud, E., Insel, P. S., Blennow, K., Zetterberg, H., Fauman, E., Hedman, Å. K., Nagle, M. W., Whelan, C. D., Baird, D., Mälarstig, A. & Mattsson-Carlgren, N., 2023 Jan 11, In: EMBO Molecular Medicine. 15, 1, e16359.Research output: Contribution to journal › Article › peer-review
Open Access -
DOPA decarboxylase is an emerging biomarker for Parkinsonian disorders including preclinical Lewy body disease
Pereira, J. B., Kumar, A., Hall, S., Palmqvist, S., Stomrud, E., Bali, D., Parchi, P., Mattsson-Carlgren, N., Janelidze, S. & Hansson, O., 2023, In: Nature Aging. 3, 10, p. 1201–1209 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Genetic Moderation of the Association of β-Amyloid With Cognition and MRI Brain Structure in Alzheimer Disease
Insel, P. S., Kumar, A., Hansson, O. & Mattsson-Carlgren, N., 2023, In: Neurology. 101, 1, p. E20-E29Research output: Contribution to journal › Article › peer-review
Open Access -
Polygenic risk of type 2 diabetes is associated with incident vascular dementia: a prospective cohort study
Dybjer, E., Kumar, A., Nägga, K., Engström, G., Mattsson-Carlgren, N., Nilsson, P. M., Melander, O. & Hansson, O., 2023, In: Brain Communications. 5, 2, fcad054.Research output: Contribution to journal › Article › peer-review
Open Access