{"id":1558,"date":"2024-10-10T16:05:51","date_gmt":"2024-10-10T14:05:51","guid":{"rendered":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/?p=1558"},"modified":"2024-10-21T17:34:41","modified_gmt":"2024-10-21T15:34:41","slug":"inferring-cultural-transmission-of-reproductive-success-through-machine-learning-methods","status":"publish","type":"post","link":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/inferring-cultural-transmission-of-reproductive-success-through-machine-learning-methods\/","title":{"rendered":"Inferring cultural transmission of reproductive success through machine learning methods"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;3.22&#8243;][et_pb_row _builder_version=&#8221;3.22&#8243; background_size=&#8221;initial&#8221; background_position=&#8221;top_left&#8221; background_repeat=&#8221;repeat&#8221;][et_pb_column type=&#8221;1_4&#8243; _builder_version=&#8221;3.0.47&#8243;][et_pb_text _builder_version=&#8221;3.22.1&#8243; background_color=&#8221;#072c72&#8243; border_color_all=&#8221;#3255c9&#8243; text_orientation=&#8221;right&#8221; background_layout=&#8221;dark&#8221; custom_padding=&#8221;20px|15px|15px|&#8221; z_index_tablet=&#8221;500&#8243;]<\/p>\n<p><em>2021<\/em><\/p>\n<p>Masters Projects<\/p>\n<p><span data-sheets-root=\"1\">@Biology<\/span><\/p>\n<p>[\/et_pb_text][et_pb_text _builder_version=&#8221;3.22.1&#8243; text_orientation=&#8221;right&#8221; z_index_tablet=&#8221;500&#8243;]<\/p>\n<p>+Computer Science<\/p>\n<p>+Mathematics\/Statistics<\/p>\n<p>+History<\/p>\n<p>\u00a0<\/p>\n<p>#Bioinformatics<\/p>\n<p>#Population Genomics<\/p>\n<p>#High computationnal statstical methods<\/p>\n<p>#Population history<\/p>\n<p>\u00a0<\/p>\n<p>[\/et_pb_text][\/et_pb_column][et_pb_column type=&#8221;3_4&#8243; _builder_version=&#8221;3.0.47&#8243;][et_pb_text _builder_version=&#8221;3.22.1&#8243; z_index_tablet=&#8221;500&#8243;]<\/p>\n<h3><strong>Project Summary<\/strong><\/h3>\n<p>Cultural transmission of reproductive success has been observed in many human populations. This non-genetic transmission affects the genetic evolution of populations, yielding a decrease in genetic diversity and an increase of severe genetic diseases. The aim of this project is to develop methods based on Approximate Bayesian Computation and Machine Learning to infer this transmission from a sample of whole genomes, using simulated data as training sets. The intern will develop these methods and perform a cross-validation study on them. S\/He will then apply the best methods to real data from the Saguenay Lac Saint-Jean in Quebec, where the occurrence of cultural transmission of reproductive success has already been shown using demographic data. The methods will then be applied to several populations from the 1000 Genome database with contrasted lifestyles (e.g. farmers and herders). This will allow, therefore, assessing the generality of cultural transmission of reproductive success in human populations.<\/p>\n<p>\u00a0<\/p>\n<h5><strong>Fr\u00e9d\u00e9ric Austerlitz<\/strong><\/h5>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_margin=&#8221;120px||&#8221; _builder_version=&#8221;3.22.1&#8243; locked=&#8221;off&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;3.22.1&#8243;][et_pb_divider _builder_version=&#8221;3.22.1&#8243;][\/et_pb_divider][et_pb_text admin_label=&#8221;\u00c0 lire aussi&#8221; _builder_version=&#8221;3.22.1&#8243; z_index_tablet=&#8221;500&#8243; locked=&#8221;off&#8221;]<\/p>\n<h2><span class=\"st\">Projects in the same discipline<br \/><\/span><\/h2>\n<p>[\/et_pb_text][et_pb_blog posts_number=&#8221;4&#8243; include_categories=&#8221;33&#8243; show_author=&#8221;off&#8221; show_date=&#8221;off&#8221; show_pagination=&#8221;off&#8221; module_id=&#8221;page_type_blog&#8221; _builder_version=&#8221;3.22.1&#8243; header_level=&#8221;h4&#8243; border_width_bottom_fullwidth=&#8221;1px&#8221; border_color_bottom_fullwidth=&#8221;rgba(51,51,51,0.18)&#8221; custom_padding=&#8221;||50px|&#8221; z_index_tablet=&#8221;500&#8243; locked=&#8221;off&#8221;][\/et_pb_blog][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>2021Masters Projects@Biology +Computer Science+Mathematics\/Statistics+History\u00a0#Bioinformatics#Population Genomics#High computationnal statstical methods#Population history\u00a0 Project SummaryCultural transmission of reproductive success has been observed in many human populations. This non-genetic transmission affects the genetic evolution of populations, yielding a decrease in genetic diversity and an increase of severe genetic diseases. The aim of this project is to develop methods based on&hellip; <a class=\"continue\" href=\"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/inferring-cultural-transmission-of-reproductive-success-through-machine-learning-methods\/\">Lire la suite<span> Inferring cultural transmission of reproductive success through machine learning methods<\/span><\/a><\/p>\n","protected":false},"author":560,"featured_media":2263,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[57,33,1,29],"tags":[],"class_list":["post-1558","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-57","category-biology","category-diip","category-masters-internship"],"_links":{"self":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1558","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/users\/560"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/comments?post=1558"}],"version-history":[{"count":4,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1558\/revisions"}],"predecessor-version":[{"id":2439,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/posts\/1558\/revisions\/2439"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media\/2263"}],"wp:attachment":[{"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/media?parent=1558"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/categories?post=1558"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wordpress-test.app.u-pariscite.fr\/diip\/wp-json\/wp\/v2\/tags?post=1558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}