YEAH! :) The #7QBWx course is awesome! and getting better every week :) pic.twitter.com/9IsLEe8beT
— Diogo Neves (@DiogoSnows) July 8, 2014
In 15 seconds, #IBMWatson can cross reference the symptoms of a million cancer patients. #MadeWithIBM #EndCancer http://t.co/qQpHOFU4yu
— IBM Watson (@IBMWatson) July 7, 2014
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End of 20th century: it costs~1 billion $ to produce each new drug!Systems biology -> disrupt exponential increase in cost of drug dev #CDoM
— CATHERINE COSTE (@cathcoste) July 1, 2014
Studying #genomics & quantitative biology at MIT #MOOC #edX #7QBWx #700x #PyMOL #MATLAB #python R #synbio #coding pic.twitter.com/49Ts9d8yuO
— CATHERINE COSTE (@cathcoste) July 1, 2014
Professor Ernest Fraenkel, MIT: systems biology is the new tool that could help disrupt the cost escalation (exponential increase in the cost of drug development): welcome to the era of biology and big data. |
| 7QBWx MIT and edX |
Massive-scale phenotypic predictions over the coming years will greatly improve our understanding of how cells work: http://t.co/dDYZIFEh84
— UCSD Systems Biology (@ucsd_sbrg) June 27, 2014
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| Link to MOOC, June 2014 |
"There's still a huge need to be able to measure other aspects of what's going on in the cell. And do very high throughput experiments, so we can cheaply and efficiently test not just one prediction from a model, but thousands of predictions, because one of the challenges of systems biology, is that if we're measuring thousands of things but we're only testing two, three, five, 10, then are we truly testing our models? And usually not, so we need better ways of doing the experimentation as well." Professor Ernest Fraenkel, MIT.
"In systems biology, the scientist measures the effect of a manipulation on a large scale to build a model." #7QBWx pic.twitter.com/CSIMTaNR4k
— CATHERINE COSTE (@cathcoste) July 1, 2014
#7QBWx Workshop 1: 80% Workshop 2: 100% and workshop 3: 75%. Working hard, round the clock... Love this course!! #edX #MOOC
— CATHERINE COSTE (@cathcoste) July 1, 2014
@cathcoste I have always thought it strange that #machinelearning is not used much in mainstream #genomics #GWAS. #bigdata
— Jason H. Moore, Ph.D (@moorejh) July 6, 2014
Genes that are far apart from each other R interacting. #precisionmedicine or #genomics unthinkable w/o #machinelearning @IBMWatson @moorejh
— CATHERINE COSTE (@cathcoste) July 6, 2014
#7QBWx Week 3, score: ex1: 83% (not finished, still got some time); ex2: 100% (much easier than ex1!) Enjoying Pr. Ernest Fraenkel's course!
— CATHERINE COSTE (@cathcoste) July 7, 2014
Week 4 (genomics): ex3: 100%; workshop 4: 100%.
For Professor Ernest Fraenkel at MIT: thanks for wonderful lecture! :-) #7QBWx #genomic #entertainment #MOOC #23andMe pic.twitter.com/mDBcVAhr6u
— CATHERINE COSTE (@cathcoste) July 7, 2014
Python Tools for Machine Learning http://t.co/JIRvAbBUxj via @cbinsights
— CATHERINE COSTE (@cathcoste) July 7, 2014
very excited to see Brett Lantz's book machine learning with R is #3 on Amazon's best seller's list: http://t.co/Zal4q48Kln
— Ashutosh Nandeshwar (@n_ashutosh) June 25, 2014
#6: Machine Learning with R: Machine Learning with R Brett Lantz (Author) Download: CDN$ 18.14 (Visit the Be... http://t.co/kDrFBlSxtG
— Terra U (@TerraU10) July 5, 2014
Intro to SVM in R http://t.co/j8u7SpVeE8 #7QBWx
— CATHERINE COSTE (@cathcoste) July 7, 2014
"There are approximately a quarter of a million known protein-protein interactions among human proteins." #7QBWx Systems Biology #genomics
— CATHERINE COSTE (@cathcoste) July 7, 2014
Welcome to the era of quantitative biology: how systems biology will help disrupt the exponential increase in the cost of drug development. End of the 20th century: it costs about 1 billion to produce each new drug!
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