Yasha Hasija

20 papers Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Development and validation of AI-driven multi-omics language models for cancer genomics: A comprehensive review.
Comput. Biol. Chem.
Medha Jha, Yasha Hasija
2025 J jnl
Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach.
Medical Biol. Eng. Comput.
Khushi Yadav, Yasha Hasija
2024 — conf
Comprehensive Review of Machine Learning Approaches for Analysing EEG-Based Neurological Disorders.
ICCCNT
Yogita Bhatt, Yasha Hasija
2024 J jnl
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.
Medical Biol. Eng. Comput.
Nakul Tanwar, Yasha Hasija
2024 — conf
Exploring the Role of Gut Microbiota in Hypertension: Insights from Machine Learning and eXplainable AI.
ICCCNT
Khushi Yadav, Nakul Tanwar, Yasha Hasija
2023 — conf
ChatGPT, a powerful language model and its potential uses in bioinformatics.
ICCCNT
Shreya Bhardwaj, Yasha Hasija
2023 J jnl
Utilizing deep learning to explore chemical space for drug lead optimization.
Expert Syst. Appl.
Rajkumar Chakraborty, Yasha Hasija
2022 J jnl
A Review of Deep Learning Techniques for Protein Function Prediction.
CoRR
Divyanshu Aggarwal, Yasha Hasija
2022 J jnl
Application of explainable artificial intelligence in the identification of Squamous Cell Carcinoma biomarkers.
Comput. Biol. Medicine
Jaishree Meena, Yasha Hasija
2022 J jnl
Predicting protein intrinsically disordered regions by applying natural language processing practices.
Soft Comput.
Rajkumar Chakraborty, Yasha Hasija
2021 — conf
Big Data: A Boom in biomedical sciences.
ICCCNT
Divya Sharma, Yasha Hasija
2021 — conf
Molecular Dynamics Simulation and Its Application.
ICCCNT
Prodyot Banerjee, Yasha Hasija
2021 — conf
Pharmacogenomics Based Study for Liraglutide And Metfromin (PCOS Drugs) Efficacy In Populations Across The Globe.
ICCCNT
Aparna Chauhan, Kuldeep Singh Naga, Yasha Hasija
2020 J jnl
Predicting MicroRNA Sequence Using CNN and LSTM Stacked in Seq2Seq Architecture.
IEEE ACM Trans. Comput. Biol. Bioinform.
Rajkumar Chakraborty, Yasha Hasija
2019 J jnl
ARD-PRED: an in silico tool for predicting age-related-disorder-associated proteins.
Soft Comput.
Kirti Bhadhadhara, Yasha Hasija
2017 J jnl
Extensive computational analysis of chromosome 11.
Int. J. Bioinform. Res. Appl.
Abhivyakti Srivastava, Mottadi Shiva, Priyanka Kumari, Yasha Hasija
2017 — conf
Functional Annotation of Hypothetical proteins of Lactobacillus rhamnosus: An In Silico Approach.
ICBBS
Priyanka Kumari, Arpit Singh, Yasha Hasija
2016 J jnl
dbAARD & AGP: A computational pipeline for the prediction of genes associated with age related disorders.
J. Biomed. Informatics
Isha Srivastava, Lokesh Kumar Gahlot, Pooja Khurana, Yasha Hasija
2014 J jnl
HGV&TB: a comprehensive online resource on human genes and genetic variants associated with tuberculosis.
Database J. Biol. Databases Curation
Ruchika Sahajpal, Gaurav Kandoi, Heena Dhiman, Sweety Raj, Vinod Scaria, Deeksha Bhartiya, Yasha Hasija
2014 J jnl
Personal genome analysis: a tread towards personalised medicine.
Int. J. Funct. Informatics Pers. Medicine
Deepika Jaggi, Heena Dhiman, Sonam Arora, Vidhi Malik, Yasha Hasija