Ikerdata

Casa
España
Bilbao
Ikerdata

IKERDATA S.L. Startup Company Providing Scientific Comput., Soft. Development, Consulting, Research

Startup Company Project Supported by ZITEK UPVEHU University, Biscay Provincial Council, KERBASQUE Foundation, Greater Bilbao, Basque Country and UDC University of Coruña, Spain. Services: We Offer Scientific Computing, Software Development, Consulting, Research Consortium Partnering, Publication, and Training Services. Area of Expertise: Computing (AI, ML, Cheminfo., Bioinfo., Complex Networks),

and Regulatory Affairs (Patents, Copyright, GDPR Data Protection) in Medicinal Chemistry, Materials Sciences, Nanotechnology, Biotechnology, and Biomedical Engineering. We Can Also Arrange/Sub-Contracting Experimental Scientific Services (Organic Synthesis, HPLC, NMR, IR Spectroscopy, CryoEM Imaging, Pharmacological Assays... ) with Partner University Labs to Corroborate Computing Outcomes. Know How: We Develop Our Own Scientific Computing Algorithms and Software Tools with Original Artificial Intelligence, Statistics, Complex Networks Analysis, Bioinformatics and Cheminformatics Algorithms. This Includes Markov Invariant Parameters of Complex Biomolecular Systems, Multi-Objective Artificial Intelligence Perturbation-Theory Machine Learning (AIPTML), Protein/Gene 2D Pseudo-Folding Alignment, etc. Products: We Can Offer Scientific Computing Services or Implement, Validate, and Transfer User-Friendly Software Packages Offering Solutions to Practical Problems Tailored to Client Necessities. Our Tools are Useful for Decision Making and Resources Optimization in Medicinal Chemistry Research, Pharmaceutical Industry, Chemical Industry, Biotechnology, Foods, Cosmetics, and Nutraceuticals Production, Nanotechnology, Fuel and Energy Production, Biomedical Engineering, etc. Applications: Drug Discovery, Vaccine Design, Biomarkers Validation, Nanosystems Design, Materials Discovery, Enantioselective Synthesis Optimization, Biofuel Blending, Nutraceuticals, Cosmetics, and Food Production, Toxicity and Eco-Toxicity Prediction, Catalyst Design...

07/12/2021

Mila esker sari honen atzean zaudeten guztioi!

24/11/2021

26/10/2021

Vista nuestra web: www.ikerdata.com

19/10/2021

Prest!! 🖥

19/10/2021

Estamos en B-Venture 👏🏼👏🏼

18/10/2021

¡Empezamos!

09/06/2021

S.L. Supported by UPV/EHU, Ikerbasque - Basque Foundation for Science, and FIC UDC A Coruña Researchers: https://www.linkedin.com/company/ikerdata/
https://www.facebook.com/ikerdata/
Providing , , , , , , , , and for , , , , , , , , and ...

09/06/2021

S.L. CATALOG (Software) 1.0, Perturbation-Theory Machine Learning Software Studio, Click See More for Details, Click Send Message to Buy, or Contact Email: [email protected],
WHAT IT DO: Seeks Multi-Objective Predictive Models For All Classes of Data (molecular, medical, epidemiological, industrial, social, markets, ...) Based on Information Fusion Perturbation-Theory Machine Learning algorihtms developed by us.
WHAT KIND OF DATA: use as input numeric and text files (.txt, .csv, .xlsx, etc.) of multiple sources. The files contains clases of data with multiple output variables (efficiency, cost, selectivity, performance, etc....), multiple input variables (molecular descriptors, protein sequences descriptors, patients data, medical signals, medical images, market data, products characteristics, networks parameters...) files (.net, .mat, etc.). and multiple labels for each input/output variables (techniques, proteins, cell lines, tissues, organisms, populations, trademarks, companies, cities, countries, markets, ecosystems, .....
HOW IT WORKS: IFPTML = (IF + PT + ML) have 3 steps: (1) Information Fusion (IF) Step: it pre-process data from different sources and carry out data fusion and data engeneering in different formats. (2) Perturbation Theory (PT) Step: Pre-process all data numerically to calculate PT Operators (PTOs) that quantify all information of variables and their variability vs. labels. (3) Machine Learning (ML): it runs different data analysis algorithms (ANN, SVM, LDA, LOGR, RF, etc.) to seek models.
WHAT ITS FOR: IFPTML models can be used to predict at the same time multiple output properties of complex systems with different inputs and labels or experimental and environmental conditions, e.g, optimization of aactivity in assays, translation to , networks balance, prediction of networks , networks , and strategies planning, etc.
PUBLICATIONS: PubMed: https://lnkd.in/dPUFwM8
*SALES: (1) Academic License (2500 EUR), (2) Full Training (1500 EUR), (3) Industrial License (7500 EUR), (4) Long-Term Consulting for Projects (5000 EUR/Year). *Orientative Prices. Contact us: [email protected]

09/06/2021

S.L. CATALOG (Software) 1.0, Markov Invariants for AI Predictive Study of Complex Networks, Click See More for Details, Contact Us to Buy, Email: [email protected]

23/05/2021

CONTACT IKERDATA S.L. FOR TECH & SCI ADVERTISING!!!
IKERDATA S.L. Manage CHEMBIONFO & NETWORKS Group (>10K Readers) and Trans-Atlantic Conference with >20 Host Universities, 200-400 Researchers, >10 USA-EU Workshops. We Encourage You to Advertising your Science or Technology Products or Services Impacting this Readership: YouTube TikTok , Instagram WordPress , or , Scientific , , , Research , , and much more!!! We Have Low Cost or Totally Waived Advertising Offers for University Startups or . Don't Hesitate to Contact Us: [email protected], *Unauthorized advertising posts will be declined/deleted without advice.

Dirección

Universidad Del Pais Vasco
Bilbao
48940

Página web

https://www.linkedin.com/company/ikerdata/

Notificaciones

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