Linear & Logistic Regression,
Naive Bayes, SVMs, Kernels
Decision Trees, Introduction to Neural Networks
Debugging ML Models.
https://t.co/cMLzvsdIcT
Methods & data available to you are your thinking tools. While I learned the methods in my classes, I wish I knew various data available to me.
— Sanju Sinha (@Sanjusinha7) September 16, 2022
10 resources to learn almost all the big data resources available in cancer research. \U0001f9f5\U0001f447
I curated a list of 28 common issues one faces while using machine learning for biomedicine research and using different kinds of omics data. I also provided guides on how to best overcome them. \U0001f349\U0001f9f5\U0001f447 pic.twitter.com/TFhwTOZsij
— Sanju Sinha (@Sanjusinha7) November 2, 2022
Our understanding of the immune system is quickly growing.
— Sanju Sinha (@Sanjusinha7) October 1, 2022
11 resources (videos and papers) covering the fundamentals and computational tools available to study the immune system. \U0001f9f5\U0001f447\U0001f52c\U0001f912
Best computational practices to analyze Spatial Transcriptomics (ST) are yet non-trivial.
— Sanju Sinha (@Sanjusinha7) October 7, 2022
14 Resources, including videos, papers, data repo, tutorial, & a podcast, covering our current understanding of preprocessing & downstream analysis of Spatial Transcriptomics. \U0001f30c\U0001f9ec \U0001f9f5\U0001f447
Using big data in healthcare. Here are 10 educational resources for anyone interested in building skills to analyze big data in healthcare.
— Sanju Sinha (@Sanjusinha7) October 14, 2022
Ranging from introductory to advanced, this includes courses, youtube channels, papers & online books.\U0001f9f5\U0001f951\U0001f447
Interested in aging and cancer. I did a year of literature survey on this.
— Sanju Sinha (@Sanjusinha7) September 29, 2022
Here is my list of 20 key open questions and challenges to better understand the interplay between aging and cancer. A thread \U0001f9f5\U0001f447 pic.twitter.com/gd6NX1VJM7
Drug target identification is at the heart of drug development, and we\u2019ve been working to change how it\u2019s been done.
— Eytan Ruppin, MD, PhD (@NCIEytanRuppin) October 20, 2022
We present DeepTarget: a new computational tool to characterize a drug\u2019s mechanism of action in-depth beyond its primary target. \U0001f9f0\U0001f9f5\U0001f447
https://t.co/MuNTjsiniI pic.twitter.com/8g20uUotxp
As a dean of a major academic institution, I could not have said this. But I will now. Requiring such statements in applications for appointments and promotions is an affront to academic freedom, and diminishes the true value of diversity, equity of inclusion by trivializing it. https://t.co/NfcI5VLODi
— Jeffrey Flier (@jflier) November 10, 2018