- Видео 86
- Просмотров 124 050
GaBI Academy
Израиль
Добавлен 10 мар 2019
מפגש מתעניינים - מחזור 15
00:00 - Prof. Ron Unger: About the program
33:36 - Prof. Erez Levanon: RNA Editing - New technology for drug development in the genomic era
52:27 - Dr. Ronen Tal-Botzer: AI in Medicine - Examples of commercial projects
1:03:52 - Dr. Yair Raz & Dr. Yarden Ness: Perspective of program graduate physicians
1:23:35 - Dr. Ronen Tal-Botzer: AI in Medicine - Example of an algorithm
33:36 - Prof. Erez Levanon: RNA Editing - New technology for drug development in the genomic era
52:27 - Dr. Ronen Tal-Botzer: AI in Medicine - Examples of commercial projects
1:03:52 - Dr. Yair Raz & Dr. Yarden Ness: Perspective of program graduate physicians
1:23:35 - Dr. Ronen Tal-Botzer: AI in Medicine - Example of an algorithm
Просмотров: 149
Видео
Machine Learning for Medical Data Mining \\ L05B: Artificial Intelligence B - 20240701
Просмотров 446 месяцев назад
Machine Learning for Medical Data Mining \\ L05B: Artificial Intelligence B - 20240701
Machine Learning for Medical Data Mining \\ L05A: Artificial Intelligence A - 20240624
Просмотров 446 месяцев назад
Machine Learning for Medical Data Mining \\ L05A: Artificial Intelligence A - 20240624
Machine Learning for Medical Data Mining \\ L04: NLP - 20240617
Просмотров 486 месяцев назад
Machine Learning for Medical Data Mining \\ L04: NLP - 20240617
Machine Learning for Medical Data Mining \\ P04B: Weka B - 20240610
Просмотров 916 месяцев назад
Machine Learning for Medical Data Mining \\ P04B: Weka B - 20240610
Machine Learning for Medical Data Mining \\ P04C: Weka C - 20240610
Просмотров 646 месяцев назад
Machine Learning for Medical Data Mining \\ P04C: Weka C - 20240610
Machine Learning for Medical Data Mining \\ Q&A02 - 20240610
Просмотров 546 месяцев назад
Machine Learning for Medical Data Mining \\ Q&A02 - 20240610
Machine Learning for Medical Data Mining \\ Q&A01 - 20240610
Просмотров 566 месяцев назад
Machine Learning for Medical Data Mining \\ Q&A01 - 20240610
Machine Learning for Medical Data Mining \\ P04A: Weka A - 20240603
Просмотров 1137 месяцев назад
Machine Learning for Medical Data Mining \\ P04A: Weka A - 20240603
Machine Learning for Medical Data Mining \\ L03C: Supervised Learning C - 20240603
Просмотров 547 месяцев назад
Machine Learning for Medical Data Mining \\ L03C: Supervised Learning C - 20240603
Machine Learning for Medical Data Mining \\ P03: SQL - 20240527
Просмотров 787 месяцев назад
Machine Learning for Medical Data Mining \\ P03: SQL - 20240527
Machine Learning for Medical Data Mining \\ L03B: Supervised Learning B - 20240527
Просмотров 567 месяцев назад
Machine Learning for Medical Data Mining \\ L03B: Supervised Learning B - 20240527
Machine Learning for Medical Data Mining \\ L03A: Supervised Learning A - 20240520
Просмотров 547 месяцев назад
Machine Learning for Medical Data Mining \\ L03A: Supervised Learning A - 20240520
Machine Learning for Medical Data Mining \\ P02: Normalized EMR - 20240506
Просмотров 377 месяцев назад
Machine Learning for Medical Data Mining \\ P02: Normalized EMR - 20240506
From Basic Python to Genetic Algorithms \\ L03: Program Flow
Просмотров 767 месяцев назад
From Basic Python to Genetic Algorithms \\ L03: Program Flow
Machine Learning for Medical Data Mining \\ L02B: Unsupervised Learning B - 20240506
Просмотров 507 месяцев назад
Machine Learning for Medical Data Mining \\ L02B: Unsupervised Learning B - 20240506
Machine Learning for Medical Data Mining \\ L02A: Unsupervised Learning A - 20240415
Просмотров 1508 месяцев назад
Machine Learning for Medical Data Mining \\ L02A: Unsupervised Learning A - 20240415
Machine Learning for Medical Data Mining \\ P01: Database Normalization - 20240401
Просмотров 968 месяцев назад
Machine Learning for Medical Data Mining \\ P01: Database Normalization - 20240401
Machine Learning for Medical Data Mining \\ L01B: Introduction B - 20240408
Просмотров 868 месяцев назад
Machine Learning for Medical Data Mining \\ L01B: Introduction B - 20240408
Machine Learning for Medical Data Mining \\ L01A: Introduction A - 20240401
Просмотров 1369 месяцев назад
Machine Learning for Medical Data Mining \\ L01A: Introduction A - 20240401
From Basic Python to Genetic Algorithms \\ L02: Expressions
Просмотров 1619 месяцев назад
From Basic Python to Genetic Algorithms \\ L02: Expressions
From Basic Python to Genetic Algorithms \\ L01: Introduction
Просмотров 1659 месяцев назад
From Basic Python to Genetic Algorithms \\ L01: Introduction
7.4. Systems Biology - Practice Session: Biomarkers
Просмотров 4933 года назад
7.4. Systems Biology - Practice Session: Biomarkers
GaBI Special Meeting by Prof. Yanay Ofran 20201112
Просмотров 1174 года назад
GaBI Special Meeting by Prof. Yanay Ofran 20201112
9.4. Cancer as a Genomic Disease - Practice Session : Cancer Immunotherapy
Просмотров 7434 года назад
9.4. Cancer as a Genomic Disease - Practice Session : Cancer Immunotherapy
9.4. Cancer as a Genomic Disease - Cancer Immunotherapy
Просмотров 4754 года назад
9.4. Cancer as a Genomic Disease - Cancer Immunotherapy
9.3. Cancer as a Genomic Disease - Practice Session : Genetic Predisposition to Cancer
Просмотров 7484 года назад
9.3. Cancer as a Genomic Disease - Practice Session : Genetic Predisposition to Cancer
9.3. Cancer as a Genomic Disease - Genetic Predisposition to Cancer
Просмотров 6064 года назад
9.3. Cancer as a Genomic Disease - Genetic Predisposition to Cancer
9.2. Cancer as a Genomic Disease - Practice Session : Personalized Medicine of Cancer
Просмотров 8054 года назад
9.2. Cancer as a Genomic Disease - Practice Session : Personalized Medicine of Cancer
very useful thank you very much
no hablo espanol
I will follow you forever!
Your lecturing is so exciting and exceptional !.Dr
Omg, finally in English!!! Thank you so much - your content is invaluable!!!
thank you Dr
Thanks!
excellent
wonderful💯
Thank you 🙏 very beneficial
Very good explanation.. Thank you so much
at 2:36 from where you have copied the link? kindly reply
bioinfo is overrated, lots of tools become obsolete,.
Extremely helpful, thank you, this is exactly what I need for my final project in social networks masters class and Bio info
can you explain how to use snpEff to annotate vcf file of e.coli k12
Thank you for the video
Hello thank you for the excellent video but how can we trim the bad-quality data? Do you have any videos or article?
Merhaba, bu sorunuzun cevabını bulabildiniz mi?
Here you know in which gene to look for a causative mutation. It's much harder if you don't know the causative gene.
Hello, do you know the best tool for generating VCF files from multiple sequences at once?
So well done, thank you
really clear lecture
Thank
Very nice bro, thank you so much.
Exceptional! Very focused and practical!
Very helpful video , thank you!! I am not really familiar with bioinformatics and in this part of my project, I am trying two compare two VCF files corresponding to the results of healthy tissue and tumor tissue. I want to compare these VCF files and remove their similarities. More specific I want to remove the information of the healthy tissue from the tumor one. Have you any suggestions on which tool I should use or any way that I can do my analysis? thank you in advance!
very clear! nice vedio
Concise! Brilliant
Hello, how do I determine the correct filtering threshold in VCFfilter? There is a minimum threshold value? Should I use 200 as a correct filtering threshold or can I use a 220 based on my first result?
Hello I had done the whole genome sequence by NGS (Illumina) of the bacteria. The files I received from the company are Fastaq1, Fastaq2, Filtered 1 Fastq Filtered 2 Fastq and analysis results file include :rmdup.bam.bai, rmdup.bam, filtered vcf and annotated vcf. Please tell me which of these files should be converted to FASTA and submitted to NCBI? Thanks
bro can i have your contact?
116 hours to evolve the Mona Lisa.
Anyone else here hopeless after the coursera project? Lol
totally lol
i need assistance on that please help
How do you use galaxy to convert a fasta file to a tab delimited file ?
Very clear explanation. Thank you very much
This was a great video! Could you please provide any references? It would help me greatly with my final year literature review. Thanks!
From a multisample vcf file how can get only a subset heterozygous (1/2) using VCFfilter?
This helped me a lot
better than my teacher !
Great presentation. . .easy to understand and follow
good skills in delivering lectures
exactly!
Very good explication!!!!Thank you very much!!!!the best
Very informative session. Great work. Please make a tutorial on snpeff. How to customize snpeff according to our needs. I mean how can we do variant annotation on snpeff for a list of snps that we mostly get after genome wide association. Thanks
hey i also want to enquire the same. please help!!
Thank you
Just ended the edx course. Really hyped for your next project
Very good online tutorial on genetic algorithm implementation. I love your teaching style.