gene editing

Hello I can achieve this project perfectly using R and ggplot2 In addition : I master prediction technic using Linear regression , tree regression , clustring and classification using knn kmeans , decision trees ,rando Plus

Hi, I'm an expert in ML. I'm sure that I can easily do this project for you. We can have a chat about it. Thanks.

Hi there, Kindly assign this order, I will execute well and deliver high quality work within deadline. I guarantee satisfaction and am sure we will work together on your future projects.

Hello, I am a German Bioinformatics Postdoc in the University of Freiburg. Who is also doing Deep Learnning at workplace (with scRNAseq data). Plus I did PhD (best possible mark!) in human genetics under the study prog Plus

Hello sir, I have gone through your project. And i want to be a part of the project. I am suitable for this project as I have all the requirements you needed for this project.

Please click on the "CHAT" button so that I can ask a few questions concerning your project. I will provide an exceptional quality project on time, leaving you fully satisfied that you got your money’s worth!

Hey there, I have a good skill in handling with bioinformatics. I am working as a professional machine learning engineer with multiple years of experience in the field of Deep Learning You can check out my profile revi Plus

I have been a professional medical writer for past few years. Owing to my academic background of biomedical engineering and expertise on Matlab, I can complete this task as required by the project scope.

My proposal is to study for first your data and after this understand what do you want from the data. In the second step, we search for the best solution to your problem.

Hello! I am Jordi and I am 24 years old. I am in the final year of my bioinformatics study at the Hogeschool van Arnhem and Nijmegen (the Netherlands). As a data analyst I am currently doing an internship at a large br Plus

I worked on UK Biobank DNA Gene data to predict potential cardiovascular patients in UK citizens. I fetched the data from plink and developed a pipeline aroud it