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(George Chouliaras et al., Booking.com Data Science)
Read the full article
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Here are the key insights from the article:
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Nearly ~90% of models never make to production leading to business impact and further impacting the top line and bottom line of the businesses.
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Leadership Lab with Simon Sinek тАУ Key Takeaways Introduction: Sophia Chuhofska, VP of People Strategy, welcomes attendees to the first Leadership Lab and introduces guest speaker Simon Sinek alongside Tao Rabiu, VP of Engineering. Tao will interview Simon, incorporating personal experiences and opening the floor for Q&A.
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In тАЬThe 5 Types of Wealth,тАЭ author Sahil Bloom presents a comprehensive guide to achieving a fulfilling life by focusing on five distinct forms of wealth:
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The speaker, Namabuddhaya, explains how daily habitsтАФpractices he and other monks followтАФcan lead to a happier and more fulfilling life. He argues that extraordinary achievements arenтАЩt just about luck or innate talent but are the result of consistent, positive habits that shape our character. Here are the key practices he outlines:
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Summary of the Article on DeepSeek and Its AI Advancements
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HereтАЩs a summary of the 2025 Union Budget:
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The article discusses the impact of climate change, particularly in the context of wildfires in the United States, and the global response to climate agreements. It highlights the role of American policies, particularly under Donald Trump, in shaping environmental regulations and energy policies.
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The article evaluates the fiscal performance of the Aam Aadmi Party (AAP) government in Delhi during its tenure from 2015-16 to 2024-25, comparing it to the previous decade (2004-05 to 2012-13). It focuses on the financial impact of the AAPтАЩs welfare-based governance model, the тАЬDelhi model,тАЭ which includes free electricity, water, bus travel for women, and primary healthcare.
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The article outlines 14 things to avoid based on Stoic philosophy to help you grow and improve in the new year:
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This reflection pulls heavily from Stoic philosophy and the teachings of Marcus Aurelius, Seneca, and Epictetus to offer a structured approach for self-improvement, particularly for starting fresh at the beginning of a new year.
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The Parlor Room Podcast, hosted by Chris Lenane of Harvard Business School Online, features Professor Nancy Koehn, an expert on leadership, to discuss leadership in crisis. Key highlights include:
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The history of the product owner role
тАв The differences between product owners and product managers
тАв How to transition from product owner to product manager
тАв The evolution of and problems with the SAFe framework
тАв How large non-tech companies can improve their product practices
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Osho vs Krishnamurthy
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Noble Prize Chemistry:2024
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1979 Iranian Revolution:
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Interpretability versus performance trade-off given common ML algorithms. Source тАФ http://tinyurl.com/4n5xtszb
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XGBoost with monotonic constraints gives 7% higher KS compared to traditional score-card model and explainability problem is being solved using SHAP explanations.
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This is difficult enough, but even once a vision is in place, many leaders fail to execute it over the many years that it may require. They donтАЩt translate the vision into a structured plan that they keep in focus over time. When change efforts require years, however, tracking often gets fuzzy, falling away in the face of rapidly changing business and economic conditions that force constant adaptation to produce day-to-day results.
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Time Series Clustering - Mixture Models for Clustering
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тАЬA Short History of Nearly EverythingтАЭ by Bill Bryson is a popular science book that provides an engaging, accessible exploration of major scientific concepts and discoveries about the universe, Earth, and humanityтАЩs place within it. The book takes readers on a journey through various scientific disciplines, including astronomy, chemistry, biology, geology, and physics, highlighting the achievements and struggles of the scientists who have shaped our understanding of the world.
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тАЬNot Afraid: The Evolution of EminemтАЭ by Anthony Bozza provides a detailed look into the life and career of Marshall Mathers (Eminem), capturing his personal struggles and artistic growth.
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Types of sufferings/pain
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Overthinking and Dependencies over others
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Chapter 4
Verse 4.40
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Chapter 5
Verse 5.1-2
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Chapter 5
Verse 5.3
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Chapter 5
Verse 5.4
uparyuktt sannyaas aur karmayog ko moorkh log prthak-prthak phal dene vaale kahate hain na ki panditajan ; kyonki donon mein se ek mein bhee samyak prakaar se sthit purush donon ke phalaroop paramaatma ko praapt hota hai
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Verse 1.1
рдзреГрддрд░рд╛рд╖реНрдЯреНрд░ рдЙрд╡рд╛рдЪ | рдзрд░реНрдордХреНрд╖реЗрддреНрд░реЗ рдХреБрд░реБрдХреНрд╖реЗрддреНрд░реЗ рд╕рдорд╡реЗрддрд╛ рдпреБрдпреБрддреНрд╕рд╡рдГ | рдорд╛рдордХрд╛рдГ рдкрд╛рдгреНрдбрд╡рд╛рд╢реНрдЪреИрд╡ рдХрд┐рдордХреБрд░реНрд╡рдд рд╕рдЮреНрдЬрдп || 1 ||
Translation: Dhritarashtra said: O Sanjaya, assembled in the holy land of Kurukshetra and desirous of battle, what did my sons and the sons of Pandu do?
Verse 1.2
рд╕рдЮреНрдЬрдп рдЙрд╡рд╛рдЪ | рджреГрд╖реНрдЯреНрд╡рд╛ рддреБ рдкрд╛рдгреНрдбрд╡рд╛рдиреАрдХрдВ рд╡реНрдпреВрдврдВ рджреБрд░реНрдпреЛрдзрдирд╕реНрддрджрд╛ | рдЖрдЪрд╛рд░реНрдпрдореБрдкрд╕рдВрдЧрдореНрдп рд░рд╛рдЬрд╛ рд╡рдЪрдирдордмреНрд░рд╡реАрддреН || 2 ||
Translation: Sanjaya said: O King, after seeing the army of the Pandavas arrayed in military formation, King Duryodhana approached his teacher, Dronacharya, and said the following words.
Verse 1.3
рдкрд╢реНрдпреИрддрд╛рдВ рдкрд╛рдгреНрдбреБрдкреБрддреНрд░рд╛рдгрд╛рдорд╛рдЪрд╛рд░реНрдп рдорд╣рддреАрдВ рдЪрдореВрдореН | рд╡реНрдпреВрдврд╛рдВ рджреНрд░реБрдкрджрдкреБрддреНрд░реЗрдг рддрд╡ рд╢рд┐рд╖реНрдпреЗрдг рдзреАрдорддрд╛ || 3 ||
Translation: Behold, O Teacher, this mighty army of the sons of Pandu, arrayed by the son of Drupada, your wise disciple.
Verse 1.4
рдЕрддреНрд░ рд╢реВрд░рд╛ рдорд╣реЗрд╖реНрд╡рд╛рд╕рд╛ рднреАрдорд╛рд░реНрдЬреБрдирд╕рдорд╛ рдпреБрдзрд┐ | рдпреБрдпреБрдзрд╛рдиреЛ рд╡рд┐рд░рд╛рдЯрд╢реНрдЪ рджреНрд░реБрдкрджрд╢реНрдЪ рдорд╣рд╛рд░рдердГ || 4 ||
Translation: Here in this army are many heroic bowmen equal in fighting to Bhima and Arjuna: Yuyudhana, Virata, and the mighty Drupada.
Verse 1.5
рдзреГрд╖реНрдЯрдХреЗрддреБрд╢реНрдЪреЗрдХрд┐рддрд╛рдирдГ рдХрд╛рд╢рд┐рд░рд╛рдЬрд╢реНрдЪ рд╡реАрд░реНрдпрд╡рд╛рдиреН | рдкреБрд░реБрдЬрд┐рддреНрдХреБрдиреНрддрд┐рднреЛрдЬрд╢реНрдЪ рд╢реИрдмреНрдпрд╢реНрдЪ рдирд░рдкреБрдЩреНрдЧрд╡рдГ || 5 ||
Translation: There are also great heroes like Dhrishtaketu, Chekitana, the valiant king of Kashi, Purujit, Kuntibhoja, and Shaibya, the best among men.
Verse 1.6
рдпреБрдзрд╛рдордиреНрдпреБрд╢реНрдЪ рд╡рд┐рдХреНрд░рд╛рдиреНрдд рдЙрддреНрддрдореМрдЬрд╛рд╢реНрдЪ рд╡реАрд░реНрдпрд╡рд╛рдиреН | рд╕реМрднрджреНрд░реЛ рджреНрд░реМрдкрджреЗрдпрд╛рд╢реНрдЪ рд╕рд░реНрд╡ рдПрд╡ рдорд╣рд╛рд░рдерд╛рдГ || 6 ||
Translation: There are the courageous Yudhamanyu and the valiant Uttamaujas, the son of Subhadra, and the sons of DraupadiтАФall great warriors.
Verse 1.7
рдЕрд╕реНрдорд╛рдХрдВ рддреБ рд╡рд┐рд╢рд┐рд╖реНрдЯрд╛ рдпреЗ рддрд╛рдиреНрдирд┐рдмреЛрдз рджреНрд╡рд┐рдЬреЛрддреНрддрдо | рдирд╛рдпрдХрд╛ рдордо рд╕реИрдиреНрдпрд╕реНрдп рд╕рдВрдЬреНрдЮрд╛рд░реНрдердВ рддрд╛рдиреНрдмреНрд░рд╡реАрдорд┐ рддреЗ || 7 || Translation: O best of the Brahmanas, let me now tell you about the prominent commanders of my army, for your information.
Verse 1.8
рднрд╡рд╛рдиреНрднреАрд╖реНрдорд╢реНрдЪ рдХрд░реНрдгрд╢реНрдЪ рдХреГрдкрд╢реНрдЪ рд╕рдорд┐рддрд┐рдВрдЬрдпрдГ | рдЕрд╢реНрд╡рддреНрдерд╛рдорд╛ рд╡рд┐рдХрд░реНрдгрд╢реНрдЪ рд╕реМрдорджрддреНрддрд┐рд╕реНрддрдереИрд╡ рдЪ || 8 || Translation: There are personalities like yourself, Bhishma, Karna, Kripa, Ashwatthama, Vikarna, and Bhurishrava, who are ever victorious in battle.
Verse 1.9
рдЕрдиреНрдпреЗ рдЪ рдмрд╣рд╡рдГ рд╢реВрд░рд╛ рдорджрд░реНрдереЗ рддреНрдпрдХреНрддрдЬреАрд╡рд┐рддрд╛рдГ | рдирд╛рдирд╛рд╢рд╕реНрддреНрд░рдкреНрд░рд╣рд░рдгрд╛рдГ рд╕рд░реНрд╡реЗ рдпреБрджреНрдзрд╡рд┐рд╢рд╛рд░рджрд╛рдГ || 9 || Translation: There are many other heroes who have given up their lives for my sake. They are all skilled in the art of warfare and armed with various weapons.
Verse 1.10
рдЕрдкрд░реНрдпрд╛рдкреНрддрдВ рддрджрд╕реНрдорд╛рдХрдВ рдмрд▓рдВ рднреАрд╖реНрдорд╛рднрд┐рд░рдХреНрд╖рд┐рддрдореН | рдкрд░реНрдпрд╛рдкреНрддрдВ рддреНрд╡рд┐рджрдореЗрддреЗрд╖рд╛рдВ рдмрд▓рдВ рднреАрдорд╛рднрд┐рд░рдХреНрд╖рд┐рддрдореН || 10 || Translation: Our strength, protected by Bhishma, is unlimited, while the strength of the Pandavas, protected by Bhima, is limited.
Verse 1.11
рдЕрдпрдиреЗрд╖реБ рдЪ рд╕рд░реНрд╡реЗрд╖реБ рдпрдерд╛рднрд╛рдЧрдорд╡рд╕реНрдерд┐рддрд╛рдГ | рднреАрд╖реНрдордореЗрд╡рд╛рднрд┐рд░рдХреНрд╖рдиреНрддреБ рднрд╡рдиреНрддрдГ рд╕рд░реНрд╡ рдПрд╡ рд╣рд┐ || 11 || Translation: Therefore, all of you must now give full support to Bhishma, stationed at your respective strategic points in the formation of the army.
Verse 1.12
рддрд╕реНрдп рд╕рдЮреНрдЬрдирдпрдиреНрд╣рд░реНрд╖рдВ рдХреБрд░реБрд╡реГрджреНрдзрдГ рдкрд┐рддрд╛рдорд╣рдГ | рд╕рд┐рдВрд╣рдирд╛рджрдВ рд╡рд┐рдирджреНрдпреЛрдЪреНрдЪреИрдГ рд╢рдЩреНрдЦрдВ рджрдзреНрдореМ рдкреНрд░рддрд╛рдкрд╡рд╛рдиреН || 12 || Translation: Then, to encourage Duryodhana, the mighty grandsire of the Kuru dynasty, Bhishma, the oldest among the warriors, blew his conch shell loudly like the roar of a lion.
Verse 1.13
рддрддрдГ рд╢рдЩреНрдЦрд╛рд╢реНрдЪ рднреЗрд░реНрдпрд╢реНрдЪ рдкрдгрд╡рд╛рдирдХрдЧреЛрдореБрдЦрд╛рдГ | рд╕рд╣рд╕реИрд╡рд╛рднреНрдпрд╣рдиреНрдпрдиреНрдд рд╕ рд╢рдмреНрджрд╕реНрддреБрдореБрд▓реЛрд╜рднрд╡рддреН || 13 || Translation: After that, conch shells, kettle drums, tabors, trumpets, and cow horns blared forth, and the combined sound was tumultuous.
Verse 1.14
рддрддрдГ рд╢реНрд╡реЗрддреИрд░реНрд╣рдпреИрд░реНрдпреБрдХреНрддреЗ рдорд╣рддрд┐ рд╕реНрдпрдиреНрджрдиреЗ рд╕реНрдерд┐рддреМ | рдорд╛рдзрд╡рдГ рдкрд╛рдгреНрдбрд╡рд╢реНрдЪреИрд╡ рджрд┐рд╡реНрдпреМ рд╢рдЩреНрдЦреМ рдкреНрд░рджрдзреНрдорддреБрдГ || 14 || Translation: Then, Lord Krishna and Arjuna, stationed in a grand chariot drawn by white horses, sounded their divine conch shells.
Verse 1.15
рдкрд╛рдЮреНрдЪрдЬрдиреНрдпрдВ рд╣реГрд╖реАрдХреЗрд╢реЛ рджреЗрд╡рджрддреНрддрдВ рдзрдирдЮреНрдЬрдпрдГ | рдкреМрдгреНрдбреНрд░рдВ рджрдзреНрдореМ рдорд╣рд╛рд╢рдЩреНрдЦрдВ рднреАрдордХрд░реНрдорд╛ рд╡реГрдХреЛрджрд░рдГ || 15 || Translation: Hrishikesha (Krishna) blew his conch, called Panchajanya, and Arjuna blew his, the Devadatta. Bhima, the performer of mighty deeds, blew his conch, the Paundra.
Verse 1.16
рдЕрдирдиреНрддрд╡рд┐рдЬрдпрдВ рд░рд╛рдЬрд╛ рдХреБрдиреНрддреАрдкреБрддреНрд░реЛ рдпреБрдзрд┐рд╖реНрдард┐рд░рдГ | рдирдХреБрд▓рдГ рд╕рд╣рджреЗрд╡рд╢реНрдЪ рд╕реБрдШреЛрд╖рдордгрд┐рдкреБрд╖реНрдкрдХреМ || 16 || Translation: King Yudhishthira, the son of Kunti, blew his conch, the Anantavijaya, while Nakula and Sahadeva blew the Sughosha and Manipushpaka.
Verse 1.17
рдХрд╛рд╢реНрдпрд╢реНрдЪ рдкрд░рдореЗрд╖реНрд╡рд╛рд╕рдГ рд╢рд┐рдЦрдгреНрдбреА рдЪ рдорд╣рд╛рд░рдердГ | рдзреГрд╖реНрдЯрджреНрдпреБрдореНрдиреЛ рд╡рд┐рд░рд╛рдЯрд╢реНрдЪ рд╕рд╛рддреНрдпрдХрд┐рд╢реНрдЪрд╛рдкрд░рд╛рдЬрд┐рддрдГ || 17 || Translation: The great archer, King of Kashi, the mighty warrior Shikhandi, Dhrishtadyumna, Virata, and the invincible Satyaki blew their respective conch shells.
Verse 1.18
рджреНрд░реБрдкрджреЛ рджреНрд░реМрдкрджреЗрдпрд╛рд╢реНрдЪ рд╕рд░реНрд╡рд╢рдГ рдкреГрдерд┐рд╡реАрдкрддреЗ | рд╕реМрднрджреНрд░рд╢реНрдЪ рдорд╣рд╛рдмрд╛рд╣реБрдГ рд╢рдЩреНрдЦрд╛рдиреНрджрдзреНрдореБрдГ рдкреГрдердХреНрдкреГрдердХреН || 18 || Translation: O King, Drupada, the sons of Draupadi, and the mighty-armed Abhimanyu, son of Subhadra, all blew their respective conch shells.
Verse 1.19
рд╕ рдШреЛрд╖реЛ рдзрд╛рд░реНрддрд░рд╛рд╖реНрдЯреНрд░рд╛рдгрд╛рдВ рд╣реГрджрдпрд╛рдирд┐ рд╡реНрдпрджрд╛рд░рдпрддреН | рдирднрд╢реНрдЪ рдкреГрдерд┐рд╡реАрдВ рдЪреИрд╡ рддреБрдореБрд▓реЛрд╜рднреНрдпрдиреБрдирд╛рджрдпрдиреН || 19 || Translation: The tremendous sound, resounding through the sky and earth, shattered the hearts of DhritarashtraтАЩs sons.
Verse 1.20
рдЕрде рд╡реНрдпрд╡рд╕реНрдерд┐рддрд╛рдиреНрджреГрд╖реНрдЯреНрд╡рд╛ рдзрд╛рд░реНрддрд░рд╛рд╖реНрдЯреНрд░рд╛рдиреН рдХрдкрд┐рдзреНрд╡рдЬрдГ | рдкреНрд░рд╡реГрддреНрддреЗ рд╢рд╕реНрддреНрд░рд╕рдореНрдкрд╛рддреЗ рдзрдиреБрд░реБрджреНрдпрдореНрдп рдкрд╛рдгреНрдбрд╡рдГ || 20 || Translation: At that time, the son of Pandu, Arjuna, whose flag bore the emblem of Hanuman, took up his bow as he prepared to engage in battle, seeing the sons of Dhritarashtra arrayed before him.
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Chapter 1
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Here is Bhagavad Gita, Chapter 2, Verses 10 and 11, with translations:
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Here are verses 2.12 and 2.13 from the Bhagavad Gita:
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Line 1: рдЬреЛ рдореИрдВ рдмреМрд░рд╛ рддреЛ рд░рд╛рдо рддреЛрд░рд╛
Notes: Sa Re Ga Ma Pa, Pa Ma Ga Re Sa
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Moko Kahan Dhundhe Re Bande
Sa Sa Re Ma Ga Re Sa (Sa for emphasis)
Main To Tere Paas Mein
Ma Ma Pa Dha Ni Dha Pa
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Raag Desh (or Raaga Desh) is a traditional raga in Indian classical music, associated with the late evening and monsoon season. Known for its serene, emotional, and patriotic character, it is commonly played to evoke feelings of devotion, longing, and tranquility. Raag Desh is often heard in instrumental performances, vocal compositions, and even patriotic songs in India, such as the iconic Vande Mataram and Jana Gana Mana.
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There are 10 types of Thats:-
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Published in Journal of Mathematical Psychology Volumes 68тАУ69, OctoberтАУDecember 2015, Pages 49-58, 2015
The linear ballistic accumulator model is a theory of decision-making that has been used to analyse data from human and animal experiments.
Recommended citation: Andrew Terry and A.A.J. Marley and Avinash Barnwal and E.-J. Wagenmakers and Andrew Heathcote and Scott D. Brown (2015). "Generalising the drift rate distribution for linear ballistic accumulators." Journal of Mathematical Psychology . https://www.sciencedirect.com/science/article/abs/pii/S0022249615000577
Published in 2019 New York Scientific Data Summit (NYSDS), 2015
Predicting the direction of assets have been an active area of study and difficult task. Machine learning models have been used to build robust models to model the above task. Ensemble methods are one of them resulting better than single supervised method. We have used generative and discriminative classifiers to create the stack, particularly 3 generative and 6 discriminative classifiers and optimized over one-layer Neural Network to model the direction of price cryptocurrencies. Features used are technical indicators not limited to trend, momentum, volume, volatility indicators and sentiment indicators. For Cross validation, Purged Walk forward cross validation has been used. In terms of accuracy, we have done comparative analysis of the performance of Ensemble method with Stacking and individual models. We have also developed methodology for features importance for stacked model. Important indicators are identified based on feature importance.
Recommended citation: A. Barnwal, H. P. Bharti, A. Ali and V. Singh, ""Stacking with Neural Network for Cryptocurrency investment"" 2019 New York Scientific Data Summit (NYSDS) . https://ieeexplore.ieee.org/document/8909804
Published in 2019 New York Scientific Data Summit (NYSDS), 2019
Survival month for non-small lung cancer patients depend upon which stage of lung cancer is present. Our aim is to identify smoking specific gene expression biomarkers in prognosis of lung cancer patients. In this paper, we introduce the network elastic net, a generalization of network lasso that allows for simultaneous clustering and regression on graphs. In network elastic net, we consider similar patients based on smoking cigarettes per year to form the network. We then further find the suitable cluster among patients based on coefficients of genes having different survival month structures and showed the efficacy of the clusters using stage enrichment. This can be used to identify the stage of cancer using gene expression and smoking behavior of patients without doing any tests.
Recommended citation: A. Barnwal, "Network Elastic Net for Identifying Smoking specific gene expression for lung cancer," 2019 New York Scientific Data Summit (NYSDS), New York, NY, USA, 2019, pp. 1-4, doi: 10.1109/NYSDS.2019.8909802. https://ieeexplore.ieee.org/abstract/document/8909802
Published in Arxiv, 2020
Survival month for non-small lung cancer patients depend upon which stage of lung cancer is present. Our aim is to identify smoking specific gene expression biomarkers in prognosis of lung cancer patients. In this paper, we introduce the network elastic net, a generalization of network lasso that allows for simultaneous clustering and regression on graphs. In network elastic net, we consider similar patients based on smoking cigarettes per year to form the network. We then further find the suitable cluster among patients based on coefficients of genes having different survival month structures and showed the efficacy of the clusters using stage enrichment. This can be used to identify the stage of cancer using gene expression and smoking behavior of patients without doing any tests.
Recommended citation: Barnwal, Avinash et al. тАЬSurvival regression with accelerated failure time model in XGBoost.тАЭ ArXiv abs/2006.04920 (2020): n. pag. https://arxiv.org/pdf/2006.04920.pdf
Published:
Poster Presentation of the paper
Published:
Poster Presentation of the paper
Graduate course, Stony Brook University, Applied Mathematics ans Statistics, 2017