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Titlebook: Nutraceuticals and Functional Foods in Immunomodulators; Rajesh K. Kesharwani,Raj K. Keservani,Anil K. Shar Book 2022 The Editor(s) (if ap

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11#
發(fā)表于 2025-3-23 12:33:21 | 只看該作者
Rajeshwar Kamal Kant Arya,Deepak Sati,Dheeraj Bisht,Raj K. Keservanie describes our proposal to combine microarray data and literature to find the relations among genes. The proposed method tries emphasizes the combined use of microarray data and literature rather than microarray data alone. Currently, many scholars use clustering algorithms to analyze microarray da
12#
發(fā)表于 2025-3-23 15:41:23 | 只看該作者
13#
發(fā)表于 2025-3-23 19:22:43 | 只看該作者
14#
發(fā)表于 2025-3-24 01:10:32 | 只看該作者
Divya Vani Koraganji,Addanki Mounika,Pureti Sushanth,Prameela Kandrastems, in which protein-protein interactions play a prominent role. This development extends earlier work by allowing for explicit representation of the connectivity of a protein complex. Within the formalism, typed attributed graphs are used to represent proteins and their functional components, co
15#
發(fā)表于 2025-3-24 05:42:44 | 只看該作者
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發(fā)表于 2025-3-24 08:42:13 | 只看該作者
17#
發(fā)表于 2025-3-24 11:32:47 | 只看該作者
Bhushan R. Rane,Rutuja R. Patil,Ashish S. Jain,Raj K. Keservani,Rajesh K. Kesharwanient inside the cell has been reported to be unstable with a considerable degree of randomness creating a stochastic resonance. To facilitate the understanding of the dynamic behavior of biological systems, we propose an “in silico” stochastic event based simulation. The implementation of this simula
18#
發(fā)表于 2025-3-24 17:59:35 | 只看該作者
ent inside the cell has been reported to be unstable with a considerable degree of randomness creating a stochastic resonance. To facilitate the understanding of the dynamic behavior of biological systems, we propose an “in silico” stochastic event based simulation. The implementation of this simula
19#
發(fā)表于 2025-3-24 19:30:57 | 只看該作者
Sippy Singh,Durgesh Singhtwo or more time points is not possible as it would deliver quite different results, and also it would lead to erroneous biological conclusions. We have focused on issues related to clustering gene expression temporal profiles, and devised a novel algorithm for clustering gene temporal expression pr
20#
發(fā)表于 2025-3-24 23:40:52 | 只看該作者
Mayela Govea Salas,Leticia A. Menchaca Castro,Rafael G. Aráujo,Sujey A. Ni?o Herrera,Anna Iliná,Robe levels, from the globalInternetdowntomicroandnanodevices. Manyofthesedevicesarehighly mobile and autonomous and must adapt to the surrounding environment in a totally unsupervised way. A fundamental research challenge is the design of robust decentralized c- puting systemsthat arecapableofoperating
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