325: Transcriptomics Unveiled - An In-Depth Exploration of Single Cell RNASeq Analysis using python

[@arezooghodsifard6864]

Thank you for such an incredible video! The course was incredibly clear and very helpful in starting my journey in biology, a field that was completely unfamiliar to me before. I eagerly anticipate more videos like this from you

[@gauravnjoshi]

Thanks for making this video, summarizing the technologies (MERFISH and Visium), and focusing on Visium. It's good to see powerful tools for spatial transcriptomics data analysis and visualization in action within the Python environment.

[@AsishKumarSwainPBB]

My PhD topic is on spatial transcriptomics, feels good you covered it.

[@alin5163]

Thanks!

[@DigitalSreeni]

Thank you very much.

[@S嘉禾]

thank you very much for your video, I'm a fresh man for deeplearning but your video helps me a lot!!!

[@mich5477]

Thank you so much 🎉

[@wg2]

my master's thesis on sequence alignment I'm happy there is more content on bioinformatics, but I must admit that the learning curve for newcomers can be quite steep. keep it going

[@DigitalSreeni]

Yes, the learning curve can be steep. In addition to being a new topic, it can be challenging for non biologists to keep track of all the biology terms.

[@rashamoustafa427]

Thank you so much 🎉🎉😊

[@m.ochminski]

Great video as always, sir. Could you make video about Transformers U-net in the future ?