Yadav has also worked on several research articles that cover topics in emerging areas of knowledge for instance, ...

At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step ...

Research shows 60% of missense mutations destabilize proteins, linking protein folding to genetic diseases, including ...

A team of researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital ...

Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at ...

A first-of-its-kind study shows how AI with noninvasive liquid blood plasma biopsy and Raman spectroscopy (RS) can detect and ...

This manuscript offers valuable insights by identifying two distinct liver cancer subtypes through multi-omics integration and developing a robust prognostic model, validated across various datasets, ...

and proposes an optimized deep learning model framework under the LASSO-SMLR-PCA machine learning method. Through the LASSO and SMLR methods, the multicollinearity of the multivariate time series is ...

Greedy pursuits are reviewed in depth, covering orthogonal matching pursuit (OMP), principal component analysis (PCA) and doubly orthogonal matching ... Sparse Bayesian learning framework is ...