Jan 191 min read
From Spotify Recommendation to Disease Treatment: All the Same Algorithm
Hello 2026!!! No way to start off the new year in a better way than discussing clustering, oen of the most incredible algorithms.
Hello 2026!!! No way to start off the new year in a better way than discussing clustering, oen of the most incredible algorithms.
In the weeks between Thanksgiving, Christmas, and New Years' Day, the most common phrase I hear is "time flies!", and boy oh boy do I believe those two words now. 2025 was a whirlwind of a year that flew by in a moment! I remember being in New York City on New Years' Eve last year, celebrating the beginning of 2025 with thousands of strangers in the city, and now, we're just a week and a half away from 2026.
How do neural network models align so well with protein-protein networks found so commonly in biology?
Who would've thunk a Disney movie was the way to warn kids about discrimination?
The significance of this computational technique has no bounds.
What is single-cell RNA sequencing, and why has it become increasingly relevant to the computational biology scene of the present day?
Simulating intracellular algorithms
Boolean and ODE models offer two complementary ways of studying gene regulation.
As scientific advancements grow at an exponential rate each day, the number of mishaps and mistakes seem to decrease, and the ones in the...
Reverse-engineering gene regulatory networks (GRNs) with Bayesian inference is a probabilistic approach to uncover how genes influence...
One of the biggest mysteries in science literature is that of the microRNA.
One of the most undertapped sectors of comp bio has to be RNA-folding machine learning algorithms; I myself didn't know about their...
It is an undeniable fact that model organisms have significantly furthered the force of science. But is using animals disrespectful and...
In fourth grade, I went to go watch a Bollywood-style humorous comedy movie with my family. In the middle of a scene, I whispered to my...
The pathophysiology behind the world's single leading cause of death
Generative adversarial networks (GANs) are one of the most underrated yet efficient models in exist in the generative space.