| Contents |
1. Advancement of in silico tools for stem cell research / Ambuj Kumar, Keerthana Vinod Kumar, Kunjulakshmi R., Kavita Kundal, Avik Sengupta and Rahul Kumar -- 2. Paradigm shift in stem cell research with computational tools, techniques, and databases / Arnab Raha, Prateek Paul, Samriddhi Gupta, Shruti Kaushal and Jaspreet Kaur Dhanjal -- 3. Stem cell informatics: web resources aiding in stem cell research / Rabiya Ahsan, Lubna Maryam and Salman Sadullah Usmani -- 4. Stem cell based informatics development and approaches / Anshuman Chandra, Nainee Goyal, Nagendra Singh, Vijay Kumar Goel, Shilpi Agarwal and Aditya Arya -- 5. Exploring imaging technologies and computational resources in stem cell research for regenerative medicine: a comprehensive review / Jaiganesh Inbanathan, R. Anitha, Protyusha Guha Biswas, M.R. Sanjana, K. Ponnazhagan and D. Thirumal Kumar -- 6. Application of machine learninig-based approaches in stem cell research / Manoj Kumar Yadav, Khushboo Bhutani, Shaban Ahmad, Khalid Raza, Amisha Singh and Sunil Kumar -- 7. Stem cell therapy in the era of machine learning / Asif Adil, Mohammed Asger, Musharaf Gul, Akib Mohi Ud Din Khanday and Rayees Ahmad Magray -- 8. Computational and stem cell biology: challenges and future perspectives / Rajiv Kumar, Agnieszka Maria Jastrzębska, Magali Cucchiarin, Neelam Chhillar and Mitrabasu Chhillar -- 9. Single-cell transcriptome profiling in unraveling distinct molecular signatures from cancer stem cells / Dibyabhaba Pradhan and Usha Agrawal -- 10. The single-cell big data analytics: a game changer in bioscience / Sonali Rawat, Yashvi Sharma and Sujata Mohanty -- 11. Unravelling the genomics and proteomics aspects of the stemness phenotype in stem cells / Sorra Sandhya, Kaushik Kumar Bharadwaj, Joyteeta Talukdar and Debabrat Baishya -- 12. Cutting-edge proteogenomics approaches to analyze stem cells at the therapeutic level / Saifullah Afridi, Tabassum Zahra, Umar Nishan and Daniel C. Hoessli -- 13. Cheminformatics, metabolomics, and stem cell tissue engineering: a transformative insight / Rajiv Kumar, Magali Cucchiarin, Agnieszka Maria Jastrzębska, Gerardo Caruso, Johannes Pernaa and Zarrin Minuchehr -- 14. Advances in regenerative medicines based on mesenchymal stem cell secretome / Bhawna Sharma, Himanshu Sehrawat and Vandana Gupta -- 15. Paradigms of omics in bioinformatics for accelerating current trends and prospects of stem cell research / Santosh Kumar Behera, Seeta Dewali, Netra Pal Sharma, Satpal Singh Bisht, Amrita Kumari Panda, Sanghamitra Pati and Sunil Kumar -- 16. Transcriptomic profiling based identification of biomarkers of stem cells / Swati Sharma, Daizy Kalpdev and Ankit Choudhary -- 17. Genomic and transcriptomic applications in neural stem cell therapeutics / Sushanth Adusumilli, Manvee Chauhan, Mahesh Mahadeo Mathe, Tapan Kumar Nayak and Jayasha Shandilya -- 18. Integration of multi-omic data to identify transcriptional targets during human hematopoietic stem cell erythroid differentiation / Meera Prasad, Avik Choudhuri, Song Yang, Emmet Flynn, Leonard I. Zon and Yi Zhou -- 19. Computational approaches to determine stem cell fate / Aiindrila Dhara, Sangramjit Mondal, Ayushi Gupta, Princy Choudhary, Sangeeta Singh, Pritish Kumar Varadwaj and Mirmalya Sen -- 20. Stem cell databases and tools: challenges and opportunities of computational biology / Basudha Banerjee, Pawan Kumar Raghav, Rajni Chadha, Aditya Raghav, Anugya Sengar and Manisha Sengar -- 21. Deciphering the complexities of stem cells through network biology approaches for their application in regenerative medicine / Priyanka Narad and Simran Tandon -- 22. Bioinformatics approaches to the understanding of Notch signaling in the biology of stem cells / Achala Anand, N.S. Amanda Thilakarathna, B. Suresh Pakala, Ahalya N., Prashanthi Karyala, Vivek Kumar and B.S. Dwarakanath -- 23. In silico approaches for the analysis of developmental fate of stem cells / Vinay Bhatt -- 24. Computational approaches for hematopoietic stem cells: advancing regenerative therapeutics / Pawan Kumar Raghav, Basudha Banerjee, Rajesh Kumar, Aditya Raghav, Anjali Lathwal and Rajni Chadha -- 25. Approaches to construct and analyze stem cells regulatory networks / Vinay Randhawa and Shivalika Pathania -- 26. Tissue engineering in chondral defect / Madhan Jeyaraman, Arulkumar Nallakumarasamy, Naveen Jeyaraman and Swaminathan Ramasubramanian -- 27. Recent advances in computational modeling: an appraisal of stem cell and tissue engineering research / Pinky, Neha and Suhel Parvez -- 28. Computational approaches for bioengineering of cornea / Subodh Kumar, Shivi Uppal, V.S. Vipin, Nishant Tyagi, Ratnesh Singh Kanwar, Reena Wilfred, Sweta Singh and Yogesh Kumar Verma -- 29. Targeting cancer stem cells and harnessing of computational tools offer new strategies for cancer therapy / Kaushala Prasad Mishra -- 30. Introduction to machine learning and its application in stem cell research / Nirbhay Raghav, Anil Vishnu G.K., Neha Deshpande and Annapoorni Rangarajan -- 31. Multiscale computational and machine learning models for designing stem cell-based regenerative medicine therapies / Shraddha Pandit, Tanya Jamal, Anamta Ali and Ramakrishnan Parthasarathi -- 32. Computational analysis in epithelial tissue regeneration / Priyanka Chhabra and Khushi Gandhi |
