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Kranti Konganti

Researcher at Texas A&M University

Publications -  58
Citations -  749

Kranti Konganti is an academic researcher from Texas A&M University. The author has contributed to research in topics: Gene & Biology. The author has an hindex of 12, co-authored 47 publications receiving 515 citations. Previous affiliations of Kranti Konganti include Lanzhou University & Texas A&M Health Science Center College of Medicine.

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A comprehensive evaluation of multicategory classification methods for microbiomic data

TL;DR: It is found that random forests, support vector machines, kernel ridge regression, and Bayesian logistic regression with Laplace priors are the most effective machine learning techniques for performing accurate classification from these microbiomic data.
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SBEToolbox: A Matlab Toolbox for Biological Network Analysis:

TL;DR: SBEToolbox (Systems Biology and Evolution Toolbox), an open-source Matlab toolbox for biological network analysis, takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph layout algorithms.
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Genes regulating gland development in the cotton plant.

TL;DR: Results show that the GoPGF (synonym CGF3) gene plays a critical role in the formation of glands in the cotton plant, and Seed‐specific silencing of CGF genes, either individually or in combination, could eliminate glands, thus gossypol, from the cottonseed to render it safe as food or feed for monogastrics.
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STAT3 signaling in myeloid cells promotes pathogenic myelin-specific T cell differentiation and autoimmune demyelination.

TL;DR: It is reported that STAT3 is activated in infiltrating monocytic cells near active MS lesions and that activation of STAT3 in myeloid cells is essential for leukocyte infiltration, neuroinflammation, and demyelination in experimental autoimmune encephalomyelitis (EAE).