
Cancer Cell Map
@CancerCellMap
Followers
611
Following
171
Media
105
Statuses
331
The Cancer Cell Map Initiative (CCMI) is comprehensively mapping the molecular networks underlying cancer.
Joined April 2017
"Somatic mutation as an explanation for epigenetic aging" has just been published with @SpringerNature in @NatureAging Read here:
0
0
0
"The Hallmarks of Predictive Oncology" was published this week with Cancer Discovery @CD_AACR Read here: https://t.co/XGciNY7XOS
#cancerresearch #cancercellmapinitiative #machinelearning #hallmarksofcancer
0
2
6
Our latest research paper "A multilineage screen identifies actionable synthetic lethal interactions in human cancers" has just been published with @SpringerNature in @NatureGenet Read here: https://t.co/5PuEXwU27H
#SCHEMATIC #cancerresearch #cancercellmapinitiative
0
0
2
Apply today! We are accepting Pilot Project proposals from Faculty Members and Senior Scientists at @UCSanDiego, @UCSF and @Stanford. Deadline to apply is Friday, August 9. Learn more here: https://t.co/p9RDipEWmX
0
1
1
Apply today! We are accepting applications from #Trainees at @UCSanDiego and @UCSF for the 2024 Cancer Systems Biology Training Program! Deadline to apply is Friday, August 9. Learn more here: https://t.co/VPmaxodStt
0
0
0
Join us Tues March 26 at 10am Pacific | 1pm Eastern to hear Dr. Trey Ideker discuss building a mind for cancer with @DrugDiscovNews Register here: https://t.co/sgAXYyozFI
#webinar
0
0
0
CCMI Co-Director @TreyIdeker discussed our latest #CancerDiscovery paper in a live interview with @CBS8 News. Watch the interview here: “UC San Diego School of Medicine uses AI to predict which drugs to use to treat cancer patients” #cancerresearch #ai
https://t.co/esL5Jstf6F
cbs8.com
The team published a study in Cancer Discovery that uses artificial intelligence to predict the best treatment for cancer patients.
0
0
0
Now online in @CD_AACR: Cancer Mutations Converge on a Collection of Protein Assemblies to Predict Resistance to Replication Stress - by @Xiaoyu_SysBio @aksinghal90 @TreyIdeker and colleagues https://t.co/gAw1xSwDri
@UCSanDiego @UCSDCancer #MachineLearning
0
6
12
We are delighted to announce that Dr. Xiaoyu Zhou's #cancerresearch has been published in #CancerDiscovery. There are many paths to cancer resistance; #AI can decode them all simultaneously. AI Harnesses Tumor Genetics to Predict Treatment Response https://t.co/HGkngrctI4
#ccmi
today.ucsd.edu
Cancer resists treatment in a multitude of ways, but a new algorithm developed by scientists at UC San Diego can decode them all simultaneously.
0
1
4
The CCMI is excited to announce two Requests for Applications: one for trainees ( https://t.co/yMkrlDNom9) due Aug 7, 2023 and one for pilot projects ( https://t.co/7uF8n5gBrN) due Aug 14, 2023. Both provide funding for one year. Please see the RFAs for more details.
1
0
0
RFAs Are Open for CCMI Training Program & Pilot Projects! Learn more, apply, and share the news: https://t.co/BuXo6YWeoz
0
1
0
Just launched: Meet Asia's Forbes 30 Under 30, class of 2023 #ForbesU30Asia #ForbesUnder30
12
233
338
Congratulations to Dr. Yue Qin, Ideker Lab alumnus, on joining the Forbes 30 Under 30 Class of 2023! @Yue_Qin_SysBio #ForbesUnder30 #ForbesU30Asia
Just launched: Meet Asia's Forbes 30 Under 30, class of 2023 #ForbesU30Asia #ForbesUnder30
0
1
2
Are you familiar with @cbioportal ? Then we'd love your help to test a new feature for gene set analysis. If you can spare 15 min. of your time for a quick Zoom interview, please email me asap: rudi@ucsd.edu Thanks for your support! #nciitcr @cytoscape @ucsd_sbrg @CancerCellMap
0
2
1
We'll have our Mass Spec Protein Fishing Game and Cell Signalling Maze over at the STEM Frenzy Festival in @CityCollegeofSF. Looking forward to it!
TOMORROW is the final day of the Festival, and we have so many incredible events + activities to celebrate science together all around the Bay Area - from Youth Climate Action days, to Science Palooza and STEM Frenzy, to DISCOVERY DAY. Full events list: https://t.co/14T6WPQdK5
0
0
2
We had our young researchers try different combination therapies to drive this cancer cell away from growth and survival signaling (red) towards cell death & a better prognosis for the patient (green). Our record low was a 2 drug combo. Which proteins would you target?
1
1
5
What an absolutely incredible day - full to the brim with robots, brains, solar-roasted marshmallows, and cartwheels on the outfield. THANK YOU exhibitors, hosts, attendees, and sponsors for joining us to celebrate and discover #sciencetogether!
0
5
21
Some budding cancer biologists trying their hand at our Mass Spectrometry fishing game! @QBI_UCSF @BayAreaSciFest @UCSFCancer
0
5
23