際際滷shows by User: Alikishk / http://www.slideshare.net/images/logo.gif 際際滷shows by User: Alikishk / Sun, 14 Jul 2019 10:00:36 GMT 際際滷Share feed for 際際滷shows by User: Alikishk AI in Bioinformatics /slideshow/ai-in-bioinformatics/155419135 aiinbioinformatics2019-190714100036
EG-CompBio presentation about Artificial Intelligence in Bioinformatics covering: -AI (Types, Development) -Deep Learning (Architecture) -Bioinformatics Fields -Input formats for AI -AI Challenges in Biology -Example: (Proteomics, Transcriptomics) -Metagenomics: @ NU -Taxonomic Classification -Phenotype Classification -How to begin in AI in Bioinformatics]]>
EG-CompBio presentation about Artificial Intelligence in Bioinformatics covering: -AI (Types, Development) -Deep Learning (Architecture) -Bioinformatics Fields -Input formats for AI -AI Challenges in Biology -Example: (Proteomics, Transcriptomics) -Metagenomics: @ NU -Taxonomic Classification -Phenotype Classification -How to begin in AI in Bioinformatics]]> Sun, 14 Jul 2019 10:00:36 GMT /slideshow/ai-in-bioinformatics/155419135 Alikishk@slideshare.net(Alikishk) AI in Bioinformatics Alikishk EG-CompBio presentation about Artificial Intelligence in Bioinformatics covering: -AI (Types, Development) -Deep Learning (Architecture) -Bioinformatics Fields -Input formats for AI -AI Challenges in Biology -Example: (Proteomics, Transcriptomics) -Metagenomics: @ NU -Taxonomic Classification -Phenotype Classification -How to begin in AI in Bioinformatics <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/aiinbioinformatics2019-190714100036-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> EG-CompBio presentation about Artificial Intelligence in Bioinformatics covering: -AI (Types, Development) -Deep Learning (Architecture) -Bioinformatics Fields -Input formats for AI -AI Challenges in Biology -Example: (Proteomics, Transcriptomics) -Metagenomics: @ NU -Taxonomic Classification -Phenotype Classification -How to begin in AI in Bioinformatics
AI in Bioinformatics from Ali Kishk
]]> 2176 2 https://cdn.slidesharecdn.com/ss_thumbnails/aiinbioinformatics2019-190714100036-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 From Expression to Pathways Using Online Tools /slideshow/from-expression-to-pathways-using-online-tools/136962234 fromexpressiontopathways-190318132359
Microarray and RNA seq analysis using Online Tools Content: Microarray Types Microarray Vs RNA-Seq Transcriptomic Database Network Vs Enrichment Vs Pathway Connectivity Map GEO2Enrichr ]]>
Microarray and RNA seq analysis using Online Tools Content: Microarray Types Microarray Vs RNA-Seq Transcriptomic Database Network Vs Enrichment Vs Pathway Connectivity Map GEO2Enrichr ]]> Mon, 18 Mar 2019 13:23:59 GMT /slideshow/from-expression-to-pathways-using-online-tools/136962234 Alikishk@slideshare.net(Alikishk) From Expression to Pathways Using Online Tools Alikishk Microarray and RNA seq analysis using Online Tools Content: Microarray Types Microarray Vs RNA-Seq Transcriptomic Database Network Vs Enrichment Vs Pathway Connectivity Map GEO2Enrichr <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fromexpressiontopathways-190318132359-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Microarray and RNA seq analysis using Online Tools Content: Microarray Types Microarray Vs RNA-Seq Transcriptomic Database Network Vs Enrichment Vs Pathway Connectivity Map GEO2Enrichr
From Expression to Pathways Using Online Tools from Ali Kishk
]]> 125 1 https://cdn.slidesharecdn.com/ss_thumbnails/fromexpressiontopathways-190318132359-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Systems Pharmacology 3: Predicting drug side effects /slideshow/systems-pharmacology-3-predicting-drug-side-effects/62731645 syspharm3-predictingdrugsideeffects-160605004648
SEP-L1000 is a machine learning webapp to predict drugs / small molecules side effects based on L1000 transcritomics Signature, structure similarity & morphological profiles.]]>
SEP-L1000 is a machine learning webapp to predict drugs / small molecules side effects based on L1000 transcritomics Signature, structure similarity & morphological profiles.]]> Sun, 05 Jun 2016 00:46:48 GMT /slideshow/systems-pharmacology-3-predicting-drug-side-effects/62731645 Alikishk@slideshare.net(Alikishk) Systems Pharmacology 3: Predicting drug side effects Alikishk SEP-L1000 is a machine learning webapp to predict drugs / small molecules side effects based on L1000 transcritomics Signature, structure similarity & morphological profiles. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/syspharm3-predictingdrugsideeffects-160605004648-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> SEP-L1000 is a machine learning webapp to predict drugs / small molecules side effects based on L1000 transcritomics Signature, structure similarity &amp; morphological profiles.
Systems Pharmacology 3: Predicting drug side effects from Ali Kishk
]]> 479 6 https://cdn.slidesharecdn.com/ss_thumbnails/syspharm3-predictingdrugsideeffects-160605004648-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Systems Pharmacology 1: Drug re-positioning prediction /Alikishk/systems-pharmacology-1-drug-repositioning-prediction syspharm1-drugrepositioningcombination-160605002959
Predicting new uses of drugs / small molecules using LINCS database.]]>
Predicting new uses of drugs / small molecules using LINCS database.]]> Sun, 05 Jun 2016 00:29:59 GMT /Alikishk/systems-pharmacology-1-drug-repositioning-prediction Alikishk@slideshare.net(Alikishk) Systems Pharmacology 1: Drug re-positioning prediction Alikishk Predicting new uses of drugs / small molecules using LINCS database. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/syspharm1-drugrepositioningcombination-160605002959-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Predicting new uses of drugs / small molecules using LINCS database.
Systems Pharmacology 1: Drug re-positioning prediction from Ali Kishk
]]> 931 6 https://cdn.slidesharecdn.com/ss_thumbnails/syspharm1-drugrepositioningcombination-160605002959-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Systems Pharmacology 2: Drug re-positioning & Combination 2 /Alikishk/systems-pharmacology-2-drug-repositioning-combination-2 syspharm2-drugrepositioningcombination2-160605002900
Predicting best drug combination using LINCS database.]]>
Predicting best drug combination using LINCS database.]]> Sun, 05 Jun 2016 00:28:59 GMT /Alikishk/systems-pharmacology-2-drug-repositioning-combination-2 Alikishk@slideshare.net(Alikishk) Systems Pharmacology 2: Drug re-positioning & Combination 2 Alikishk Predicting best drug combination using LINCS database. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/syspharm2-drugrepositioningcombination2-160605002900-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Predicting best drug combination using LINCS database.
Systems Pharmacology 2: Drug re-positioning & Combination 2 from Ali Kishk
]]> 220 4 https://cdn.slidesharecdn.com/ss_thumbnails/syspharm2-drugrepositioningcombination2-160605002900-thumbnail.jpg?width=120&height=120&fit=bounds presentation 000000 http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-Alikishk-48x48.jpg?cb=1693315459 I am a Data Scientist in Bioinformatics, Machine Learning & recently in Computational Chemistry through self-learning, academia & Industry Hackathons. I participated in IBM hackathon in Malarial resistance Prediction where my work concerning involved network analysis for Feature Engineering & Machine learning. As a Researcher in H3ABioNet "Bioinformatics network across Africa", I participated as researcher assistant in a 3-months course "Introduction to Bioinformatics course" in 2016 that taught me how to teach Bioinformatics. It will be repeated for the second time in May 2017. I joined recently the postgraduate studies in Drug Design & Discovery in Faculty of Pharmacy-Cairo Universi... https://cdn.slidesharecdn.com/ss_thumbnails/aiinbioinformatics2019-190714100036-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/ai-in-bioinformatics/155419135 AI in Bioinformatics https://cdn.slidesharecdn.com/ss_thumbnails/fromexpressiontopathways-190318132359-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/from-expression-to-pathways-using-online-tools/136962234 From Expression to Pat... https://cdn.slidesharecdn.com/ss_thumbnails/syspharm3-predictingdrugsideeffects-160605004648-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/systems-pharmacology-3-predicting-drug-side-effects/62731645 Systems Pharmacology 3...