Aashish Jain

University of Delhi — India

Biochemistry, Genetics and Molecular Biology · Life Sciences

15h-index1.1kcitations55works4.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Protein Structure and Dynamics(11), Machine Learning in Bioinformatics(10), Nanopore and Nanochannel Transport Studies(9), Bioinformatics and Genomic Networks(7), Genomics and Phylogenetic Studies(6)

Publications53 total

Predictive Trend Analysis in Fashion: Leveraging Machine Learning for Forecasting Styles and Consumer Preferences
2025· 1 cited
Prompt engineering based biometric identification using different biometric traits
AIP conference proceedings·2025
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
2024· 1 cited
A High-Quality Blue Whale Genome, Segmental Duplications, and Historical Demography
Molecular Biology and Evolution·2024· 17 citedOpen Access
Designing regression approach for mode frequency prediction of empty and filled steel silos
Heliyon·2023· 1 citedOpen Access
IMPACT OF MINDFULNESS: A PERSPECTIVE OF TEACHERS OF DOE
Malaysian Mental Health Journal·2023Open Access
A haplotype-resolved genome assembly of the Nile rat facilitates exploration of the genetic basis of diabetes
BMC Biology·2022· 25 citedOpen Access
A high-quality blue whale genome, segmental duplications, and historical demography
2022· 7 citedOpen Access
ContactPFP: Protein Function Prediction Using Predicted Contact Information
Frontiers in Bioinformatics·2022· 14 citedOpen Access
ContactPFP: Protein function prediction using predicted contact information
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
ContactPFP: Protein function prediction using predicted contact information
Zenodo (CERN European Organization for Nuclear Research)·2022· 2 citedOpen Access
Additional file 2 of A haplotype-resolved genome assembly of the Nile rat facilitates exploration of the genetic basis of diabetes
Figshare·2022Open Access
Multimodal Conditionality for Natural Language Generation
arXiv (Cornell University)·2021· 7 citedOpen Access
Clinical Use of a Real-World Low Carbohydrate Diet Resulting in Reduction of Insulin Dose, Hemoglobin A1c, and Weight
Frontiers in Nutrition·2021· 9 citedOpen Access
Analyzing effect of quadruple multiple sequence alignments on deep learning based protein inter-residue distance prediction
Scientific Reports·2021· 27 citedOpen Access
Protein contact map refinement for improving structure prediction using generative adversarial networks
Bioinformatics·2021· 12 citedOpen Access
Establishing reliability in crowdsourced voice feedback (CVF) and evaluating the reliability in the absence of ground-truth
2021
Machine Learning Approaches Towards Protein Structure and Function Prediction
Figshare·2021Open Access
AttentiveDist: Protein Inter-Residue Distance Prediction Using Deep Learning with Attention on Quadruple Multiple Sequence Alignments
2020· 4 citedOpen Access
Protein Contact Map Denoising Using Generative Adversarial Networks
2020· 9 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Daisuke Kihara(17), Kevin D. Dorfman(10), Yuki Kagaya(7), Abhiram Muralidhar(5), Genki Terashi(4), Sai Raghavendra Maddhuri Venkata Subramaniya(4), Huishi Toh(4), Giulio Formenti(4), Kalpana Raja(4), Kerstin Howe(4), Olivier Fédrigo(4), Bogdan Kirilenko(4), Chetan Munegowda(4), Michael Hiller(4), Arang Rhie(4), Adam M. Phillippy(4), Scott Swanson(4), Peng Jiang(4), Erich D. Jarvis(4), James A. Thomson(4)