Whole Exome Sequencing of a Multiplex Family of Indian Origin Identifies Variants in the RAI1 and FLII Genes within the 17p11.2 Region in Siblings with Autism and Smith Magenis Syndrome.

Autor: Srividhya D; Department of Studies in Biotechnology, University of Mysore, Mysore, India.; St. John's Medical College, Bangalore, India., Parambath SV; St. John's Medical College, Bangalore, India.; Department of Molecular Medicine, St. John's Research Institute, St. John's National Academy of Health Science, Bangalore, India., Sathyanarayanan R; St. John's Medical College, Bangalore, India.; Centre for Advance Research and Excellence in Autism and Developmental Disorders (CAREADD), St. John's Research Institute, St. John's National Academy of Health Science, Bangalore, India., Huligerepura Sosalegowda A; Department of Studies in Biotechnology, University of Mysore, Mysore, India., Korlimarla A; Centre for Advance Research and Excellence in Autism and Developmental Disorders (CAREADD), St. John's Research Institute, St. John's National Academy of Health Science, Bangalore, India.; Department of Research, Sri Shankara Cancer Hospital and Research Center, Bangalore, India., Niranjana Murthy AS; St. John's Medical College, Bangalore, India.; Centre for Advance Research and Excellence in Autism and Developmental Disorders (CAREADD), St. John's Research Institute, St. John's National Academy of Health Science, Bangalore, India., Prabhakaran N; St. John's Medical College, Bangalore, India.; Centre for Advance Research and Excellence in Autism and Developmental Disorders (CAREADD), St. John's Research Institute, St. John's National Academy of Health Science, Bangalore, India., Vijayanand M; St. John's Medical College, Bangalore, India.; Department of Psychiatry, St. John's National Academy of Health Science, Bangalore, India., Gowda NKC; St. John's Medical College, Bangalore, India.; Centre for Advance Research and Excellence in Autism and Developmental Disorders (CAREADD), St. John's Research Institute, St. John's National Academy of Health Science, Bangalore, India.

Publikováno v: Molecular syndromology [Mol Syndromol] 2024 Dec; Vol. 15 (6), pp. 537-544. Date of Electronic Publication: 2024 Jun 20.

Machine Learning for Endometrial Cancer Prediction and Prognostication.

Autor: Bhardwaj V; Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China., Sharma A; Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China., Parambath SV; Division of Molecular Medicine, St. John's Research Institute, Bangalore, India., Gul I; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China., Zhang X; Shenzhen Bay Laboratory, Shenzhen, China., Lobie PE; Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.; Shenzhen Bay Laboratory, Shenzhen, China., Qin P; Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China., Pandey V; Tsinghua Berkeley Shenzhen Institute, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.; Institute of Biopharmaceutical and Health Engineering, Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China.

Publikováno v: Frontiers in oncology [Front Oncol] 2022 Jul 27; Vol. 12, pp. 852746. Date of Electronic Publication: 2022 Jul 27 (Print Publication: 2022).

Integrative system biology and mathematical modeling of genetic networks identifies shared biomarkers for obesity and diabetes.

Autor: Bima AIH; Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Elsamanoudy AZ; Department of Clinical Biochemistry, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.; Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Mansoura University, Mansoura, Egypt., Albaqami WF; Department of Science, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia., Khan Z; Department of Science, Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia., Parambath SV; Division of Molecular Medicine, St. John's Research Institute, Bangalore, Karnataka, India., Al-Rayes N; Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.; Princess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia., Kaipa PR; Department of Genetics, College of Science, Osmania University, Hyderabad, India., Elango R; Princess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.; Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Banaganapalli B; Princess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.; Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia., Shaik NA; Princess Al-Jawhara Al-Brahim Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University, Jeddah, Saudi Arabia.; Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

Publikováno v: Mathematical biosciences and engineering : MBE [Math Biosci Eng] 2022 Jan 04; Vol. 19 (3), pp. 2310-2329.

Identification of miRNA–mRNA–TFs regulatory network and crucial pathways involved in asthma through advanced systems biology approaches.

Autor: Shaik, Noor Ahmad^1,2 (AUTHOR), Nasser, Khalidah^2,3 (AUTHOR), Mohammed, Arif⁴ (AUTHOR), Mujalli, Abdulrahman⁵ (AUTHOR), Obaid, Ahmad A.⁵ (AUTHOR), El‐Harouni, Ashraf A.¹ (AUTHOR), Elango, Ramu^1,2 (AUTHOR), Banaganapalli, Babajan^1,2 (AUTHOR) bbabajan@kau.edu.sa

Publikováno v: PLoS ONE. 10/20/2022, Vol. 17 Issue 10, p1-21. 21p.

Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions.

Autor: Mansur, Arian, Saleem, Zain, Elhakim, Tarig, Daye, Dania

Publikováno v: Frontiers in Oncology; 1/25/2023, Vol. 13, p01-13, 13p