HGV&TB: a comprehensive online resource on human genes and genetic variants associated with tuberculosis. - Ruchika Sahajpal; Gaurav Kandoi; Heena Dhiman; Sweety Raj; Vinod Scaria; Deeksha Bhartiya; Yasha Hasija (Database J. Biol. Databases Curation, 2014)

Personal genome analysis: a tread towards personalised medicine. - Deepika Jaggi; Heena Dhiman; Sonam Arora; Vidhi Malik; Yasha Hasija (Int. J. Funct. Informatics Pers. Medicine, 2014)

dbAARD & AGP: A computational pipeline for the prediction of genes associated with age related disorders. - Isha Srivastava; Lokesh Kumar Gahlot; Pooja Khurana; Yasha Hasija (J. Biomed. Informatics, 2016)

Functional Annotation of Hypothetical proteins of Lactobacillus rhamnosus: An In Silico Approach. - Priyanka Kumari; Arpit Singh; Yasha Hasija (ICBBS, 2017)

Extensive computational analysis of chromosome 11. - Abhivyakti Srivastava; Mottadi Shiva; Priyanka Kumari; Yasha Hasija (Int. J. Bioinform. Res. Appl., 2017)

In silico analysis of nsSNPs in ABCB1 gene affecting breast cancer associated protein P-glycoprotein (P-gp). - Rajkumar Chakraborty; Himani Gupta; Razia Rahman; Yasha Hasija (Comput. Biol. Chem., 2018)

ARD-PRED: an in silico tool for predicting age-related-disorder-associated proteins. - Kirti Bhadhadhara; Yasha Hasija (Soft Comput., 2019)

Predicting MicroRNA Sequence Using CNN and LSTM Stacked in Seq2Seq Architecture. - Rajkumar Chakraborty; Yasha Hasija (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Molecular Dynamics Simulation and Its Application. - Prodyot Banerjee; Yasha Hasija (ICCCNT, 2021)

Pharmacogenomics Based Study for Liraglutide And Metfromin (PCOS Drugs) Efficacy In Populations Across The Globe. - Aparna Chauhan; Kuldeep Singh Naga; Yasha Hasija (ICCCNT, 2021)

Big Data: A Boom in biomedical sciences. - Divya Sharma; Yasha Hasija (ICCCNT, 2021)

In-silico screening and in-vitro assay show the antiviral effect of Indomethacin against SARS-CoV-2. - Rajkumar Chakraborty; Gourab Bhattacharje; Joydeep Baral; Bharat Manna; Jayati Mullick; Basavaraj S. Mathapati; Priya Abraham; Madhumathi J; Yasha Hasija; Amit Ghosh; Amit Kumar Das 004 (Comput. Biol. Medicine, 2022)

Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers. - Jaishree Meena; Yasha Hasija (Comput. Biol. Medicine, 2022)

A Review of Deep Learning Techniques for Protein Function Prediction. - Divyanshu Aggarwal; Yasha Hasija (CoRR, 2022)

Predicting protein intrinsically disordered regions by applying natural language processing practices. - Rajkumar Chakraborty; Yasha Hasija (Soft Comput., 2022)

ChatGPT, a powerful language model and its potential uses in bioinformatics. - Shreya Bhardwaj; Yasha Hasija (ICCCNT, 2023)

Utilizing deep learning to explore chemical space for drug lead optimization. - Rajkumar Chakraborty; Yasha Hasija (Expert Syst. Appl., 2023)

Comprehensive Review of Machine Learning Approaches for Analysing EEG-Based Neurological Disorders. - Yogita Bhatt; Yasha Hasija (ICCCNT, 2024)

Exploring the Role of Gut Microbiota in Hypertension: Insights from Machine Learning and eXplainable AI. - Khushi Yadav; Nakul Tanwar; Yasha Hasija (ICCCNT, 2024)

Explicate molecular landscape of combined pulmonary fibrosis and emphysema through explainable artificial intelligence: a comprehensive analysis of ILD and COPD interactions using RNA from whole lung homogenates. - Nakul Tanwar; Yasha Hasija (Medical Biol. Eng. Comput., 2024)

Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach. - Khushi Yadav; Yasha Hasija (Medical Biol. Eng. Comput., 2025)