Unfortunately I have an error: Error in py_call_impl(callable, call_args$unnamed, call_args$named) : ValueError: Only input tensors may be passed as positional arguments. The following argument value should be passed as a keyword argument: <Sequential name=sequential_7, built=False> (of type <class 'keras.src.models.sequential.Sequential'>) Run `reticulate::py_last_error()` for details.

Thanks a lot. I wonder if the option of "mRNA expression z-scores relative to diploid samples" is calculated based on the normal diploid samples(samples from healthy people having two copies of the gene) or cancer patients from the population. Additionally, can you explain how to choose between "mRNA expression z-scores relative to diploid samples or All samples, ?

If I have panel data from 2000 to 2019 with health indices as predictors and data for these indices is missing for some years due to the frequency of data reporting. What type of missingness is that?

I use R then Loupe browse.. but I don't know how to present my results over a year of work as an PhD student??

I am learning a lot, thanks a lot

Thank you so much! this is super helpful!

Very useful video! Your English pronunciation is lovely!

The ranking in example is too perfect regarding lowest log2fc being lowest p val as well. What if log2fc is lowest but pval isn’t lowest? Or should we trust calculated ranking metrics as final ranking?

Thanks Brandon! First of all, it helped me to understand how to make a ranking file for GSEA then the concepts behind the algorithm.

13:42 - a proper scientist saying gender is fluid - hmm; in any case what relevance does that have here?

Is it not necessary to trim the adapters and deduplicate rhe reads before alignment?

i hate click up adsssss

Did she ever compete the task? I would love to see that animation (or those animations)!

Super Helpful. Could you also share any resources for implementation part of this algorithm.

0.69, nice

Thank you so much for your kind sharing

awesome !!!!!!!!

Thank you so much, this video is helping me a lot! Congratulations for the excelent work.

I'm a biotechnology student trying to find my way in how to plan my studies on bioinformatics, while already doing it for my projects. And I agree 100% with you, even with the huge amount of content about bioinformatics, it's still a huge challenge to truly understand and guide my self through the different kinds of knowledges I have to obtain for me to perform and explore analysis with clearity of what I am doing and if I am doing it right. Thank you for this video and for starting this debate in your channel. I'm already using some of your videos to study and perform some analysis, and it's been quite a rich and helpful resource. I hope you guys continue to work on this project. Thank you for your work!

Excellent Intro 1. Can you explain what Piping does, does it instantiate an instance of the data into personal defined dataset or variable? 2. You didn't add the links at the bottom in your description. 3. install.packages pheatmap needs to be in quotes.

Thank you! This video is amazing and easy to follow

Thank you very much 😊, you really helped me in my studies

i want to thank you for your video it helped me , bit i did as you said uploaded same file to create krona it doesn't want to select the file foe mothur.cos,taxonomy, can you help me i can send a screenshot

Great video, saved me lots of time. You're also super funny!!

You saved me and my time. This video is beneficial. Thanks.

Jones Jennifer Robinson Lisa Hall Daniel

hello from 5:26- 6:00 you talk about the drive_auth() function. You said "authentication will allow the api to directly access edit read and write and delete file for you using command line instead of you authoring everything everytime, it will store a token locally so as long as you have the token this package is allowed to edit everything in your drive, be careful because if you don't do this carefully you might actually delete your whole google drive," Could you tell me how to avoid deletion of the google drive and seconly if instead we authenticate everytime from the website instead will this danger of deletion be avoided? Pleaes let me know

Garcia Jennifer Rodriguez Shirley Perez Edward

this is helpful , i have a question i received the data as md5 files how to convert them to fastq files

I followed your script, but I encountered an error: Error in py_module_import(module, convert = convert): ModuleNotFoundError: No module named 'kerastools.callback'. Could you please help me?

Great presentation. I just want to know how you imported the files into RStudio. I have Galaxy files and I am still struggling with Rstudio to have a good visualization.

Thank you for sharing knowledge.

Fantastic video! Really really helpful and informative! I recommend! Thanks for your video!

wow. that's what I needed. thanks guys.

i did not find any external traits file in your github. can you provide?

Thanks for the information. How to visulaize CNV amplification data like how can i add amplification status like Amplification or Loss inside the input file? and amplificaation status want to see along with SNV.

Very informative. I have installed IBM CPLEX optimization Studio 22.1.1 (academia) in windows 11 machine. And I have R 4.3.1 . I have tried to link CPLEX in R studio but could not able to make it. If it is possible, could you please make a video how to link CPLEX with R ? I tried different solutions from stackoverflow or from Chatgpt but could not able to make it. There is not much working solution as well. Please can u upload the tutorial regarding this ? Thanks in advance :)

Informative and Detailed Video on KZbin about CNN ever. Thanks for sharing.

thank you for this video. I have a problem when I want to open the image it does not appear (turns white) my_palette <- colorRampPalette(c("blue", "yellow", "orange", "red")) pheatmap(d_S1, col = my_palette(n = 10), kmeans_k = NA, breaks = NA, border_color = F, cellwidth = 50, cellheight = 50, scale = "none", cluster_rows = TRUE, cluster_cols = F, clustering_distance_rows = "euclidean", treeheight_row = 30, clustering_method = "complete", annotation_names_row = TRUE, annotation_names_col = TRUE, drop_levels = TRUE, show_rownames = TRUE, show_colnames = T, main = "FC", fontsize = 12, fontsize_row = 12, fontsize_col = 12, ) ggsave("FCC_S1.jpeg",units = "cm", width = 7, height = 4, dpi = 1000)

Hi, I am new to R, can you please tell me little about library(FactoMieR), please? I can not find it.

Thanks for the video, really understand HMM model. Can we have a video on how HMM works in haplotype phasing? :)

Are they all hg19? or are there hg38 cohorts?

u just saved my exam tmrw 😭

you displayed your group allocation poorly. needs to show that it's all part of the same for loop.. looked separate otherwise nice tutorial

Thank you so much

❤ Best tutor! Thanks!

❤ Best tutor! Thanks!

what if I am not using Miseq particularly ? and particular illumina platform is not specified when I get the data ?

what if i am not using Miseq particularly?

Thanks for the video, it is really useful!! It would have been nice if you showed the imported count_table like you did with the taxonomy file because you used a final.full.count_table that is not produced with the Mothur SOP, is it?? I think a few of us are struggling with the comment lines in the count_table in mothur. Any advice is greatly appreciated 🙃