GitHub

Fine-tuning sequence-to-expression models on personal genome and transcriptome data

The code base for our work on improving the performance of sequence-to-expression models for making individual-specific gene expression predictions by fine-tuning them on personal genome and ...
Nature

How DeepMind's genome AI could help solve rare disease mysteries

Hackathons using AlphaGenome and other AI models are hunting down the genetic causes of devastating conditions that have ...
IEEE

Overfitting Problem of ANN- and VSTF-Based Nonlinear Equalizers Trained on Repeated Random Bit Sequences

Abstract: In this paper, we investigated the overfitting characteristics of nonlinear equalizers based on an artificial neural network (ANN) and the Volterra series transfer function (VSTF), which ...
indiafilings.com

RANDOM SQUARE CODING TECHNOLOGY PRIVATE LIMITED

RANDOM SQUARE CODING TECHNOLOGY PRIVATE LIMITED is a Private Limited Company, governed by the Companies Act as a company limited by shares. Classified as a Non-government company, it is registered ...
GitHub

Practice coding algorithms 100% offline with AI: generate problems, get hints, discuss solutions, and run code in JavaScript, TypeScript, or Python — no internet or setup ...

The desktop application provides the best experience with zero environment setup required. Simply download and run.
IEEE

Pre/Post-Coding Techniques Using Zadoff-Chu Sequence for PAPR Reduction in OTFS

Abstract: High peak-to-average power ratio (PAPR) is one of the major drawbacks of orthogonal time frequency space (OTFS) based communication systems, leading to ...