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of 77
pro vyhledávání: '"P, Joshua Paul"'
Autor:
Powers, Joshua Paul
The ongoing deep learning revolution has allowed computers to outclass humans in various games and perceive features imperceptible to humans during classification tasks. Current machine learning techniques have clearly distinguished themselves in spe
Externí odkaz:
http://arxiv.org/abs/2306.03757
Autor:
Kirti Prasad, Nivedhitha Devaraju, Anila George, Nithin Sam Ravi, Joshua Paul, Gokulnath Mahalingam, Vignesh Rajendiran, Lokesh Panigrahi, Vigneshwaran Venkatesan, Kartik Lakhotiya, Yogapriya Periyasami, Aswin Anand Pai, Yukio Nakamura, Ryo Kurita, Poonkuzhali Balasubramanian, Saravanabhavan Thangavel, Shaji R. Velayudhan, Gregory A. Newby, Srujan Marepally, Alok Srivastava, Kumarasamypet M. Mohankumar
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 35, Iss 2, Pp 102205- (2024)
β-thalassemia/HbE results from mutations in the β-globin locus that impede the production of functional adult hemoglobin. Base editors (BEs) could facilitate the correction of the point mutations with minimal or no indel creation, but its efficienc
Externí odkaz:
https://doaj.org/article/1c5f0f013cfe4f2da711f4e85aae51fa
Detailed dynamical systems models used in life sciences may include dozens or even hundreds of state variables. Models of large dimension are not only harder from the numerical perspective (e.g., for parameter estimation or simulation), but it is als
Externí odkaz:
http://arxiv.org/abs/2201.13373
Autor:
Palmer, Glenn, Du, Siqi, Politowicz, Alexander, Emory, Joshua Paul, Yang, Xiyu, Gautam, Anupraas, Gupta, Grishma, Li, Zhelong, Jacobs, Ryan, Morgan, Dane
Obtaining accurate estimates of machine learning model uncertainties on newly predicted data is essential for understanding the accuracy of the model and whether its predictions can be trusted. A common approach to such uncertainty quantification is
Externí odkaz:
http://arxiv.org/abs/2105.13303
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25161- (2024)
Purpose: To present a novel characterization of a lens condition termed macrophakia which includes large or proportionally large lenses with shallow anterior chamber dimensions that are statistically deviant of a normal population. Observations: We i
Externí odkaz:
https://doaj.org/article/3e691b0cdc184b3b899fe0183551e142
Akademický článek
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Akademický článek
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Autor:
Mukherjee, Anirban Goutam, Wanjari, Uddesh Ramesh, Nagarajan, Dhanushya, K K, Vibhaa, V, Anagha, P, Joshua Paul, T, Tharani Priya, Chakraborty, Rituraj, Renu, Kaviyarasi, Dey, Abhijit, Vellingiri, Balachandar, Gopalakrishnan, Abilash Valsala
Publikováno v:
In Life Sciences 1 December 2022 310
Autor:
Glenn Palmer, Siqi Du, Alexander Politowicz, Joshua Paul Emory, Xiyu Yang, Anupraas Gautam, Grishma Gupta, Zhelong Li, Ryan Jacobs, Dane Morgan
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract Obtaining accurate estimates of machine learning model uncertainties on newly predicted data is essential for understanding the accuracy of the model and whether its predictions can be trusted. A common approach to such uncertainty quantific
Externí odkaz:
https://doaj.org/article/c8ff8838611448319aa4e6305809ec41
Efficient and error-free correction of sickle mutation in human erythroid cells using prime editor-2
Autor:
Anila George, Nithin Sam Ravi, Kirti Prasad, Lokesh Panigrahi, Sanya Koikkara, Vignesh Rajendiran, Nivedhitha Devaraju, Joshua Paul, Aswin Anand Pai, Yukio Nakamura, Ryo Kurita, Poonkuzhali Balasubramanian, Saravanabhavan Thangavel, Srujan Marepally, Shaji R. Velayudhan, Alok Srivastava, Kumarasamypet M. Mohankumar
Publikováno v:
Frontiers in Genome Editing, Vol 4 (2022)
Sickle cell anaemia (SCA) is one of the common autosomal recessive monogenic disorders, caused by a transverse point mutation (GAG > GTG) at the sixth codon of the beta-globin gene, which results in haemolytic anaemia due to the fragile RBCs. Recent
Externí odkaz:
https://doaj.org/article/5c7fcda3597440939586146c2d46906f